Name,Domain,Code Available,Multiple Dataset,PHI,Public,Public PHI,Variance/CI Reported,Purely Theoretical?,Year,Source,Link
Image Collection Pop-Up: 3D Reconstruction and Clustering of Rigid and Non-Rigid Categories,CV,0,1,0,1,0,0,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Agudo_Image_Collection_Pop-Up_CVPR_2018_paper.html
Guide Me: Interacting With Deep Networks,CV,0,1,0,1,0,0,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Rupprecht_Guide_Me_Interacting_CVPR_2018_paper.html
Learning Sentiment Memories for Sentiment Modification without Parallel Data,NLP,1,0,0,1,0,0,0,2018,EMNLP,https://aclanthology.info/papers/D18-1138/d18-1138
Simple Recurrent Units for Highly Parallelizable Recurrence,NLP,1,1,0,1,0,1,0,2018,EMNLP,https://aclanthology.info/papers/D18-1477/d18-1477
Dating Documents using Graph Convolution Networks,NLP,1,1,0,1,0,0,0,2018,ACL,https://acl2018.org/paper/1683
How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures,NLP,1,1,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/P18-1167
Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition,"NLP, ML4H",0,1,1,1,0,1,0,2018,NAACL,https://aclanthology.info/papers/N18-1001/n18-1001
Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss,NLP,1,1,0,1,0,1,0,2018,NAACL,https://aclanthology.info/papers/N18-1002/n18-1002
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo,General,0,0,0,0,0,0,1,2018,NeurIPS,https://papers.nips.cc/paper/8010-beyond-log-concavity-provable-guarantees-for-sampling-multi-modal-distributions-using-simulated-tempering-langevin-monte-carlo.pdf
Neural Ordinary Differential Equations,General,1,0,0,0,0,0,0,2018,NeurIPS,https://papers.nips.cc/paper/7892-neural-ordinary-differential-equations.pdf
Gradient Descent Learns One-hidden-layer CNN: Don’t be Afraid of Spurious Local Minima,General,0,0,0,0,0,0,1,2018,ICML,http://proceedings.mlr.press/v80/du18b.html
Thompson Sampling for Combinatorial Semi-Bandits,General,0,0,0,0,0,0,1,2018,ICML,http://proceedings.mlr.press/v80/wang18a.html
Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Tem,General,0,1,0,1,0,0,0,2018,KDD,https://www.kdd.org/kdd2018/accepted-papers/view/hetero-convlstm-a-deep-learning-approach-to-traffic-accident-prediction-on-
Deep Recursive Network Embedding with Regular Equivalence,General,0,1,0,1,0,0,0,2018,KDD,http://delivery.acm.org/10.1145/3230000/3220068/p2357-tu.pdf?ip=76.71.73.74&id=3220068&acc=OPENTOC&key=4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E054E54E275136550&__acm__=1551578034_a65909f657cae10bf71734fe88471b06
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images,CV,1,1,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Sheng_Guo_CurriculumNet_Learning_from_ECCV_2018_paper.html
A Unified Framework for Multi-View Multi-Class Object Pose Estimation,CV,0,1,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Chi_Li_A_Unified_Framework_ECCV_2018_paper.html
Learning Deep Neural Networks for Vehicle Re-ID With Visual-Spatio-Temporal Path Proposals,CV,0,0,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Shen_Learning_Deep_Neural_ICCV_2017_paper.html
Weakly Supervised Summarization of Web Videos,CV,0,1,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Panda_Weakly_Supervised_Summarization_ICCV_2017_paper.html
Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU,ML4H,0,0,1,0,0,0,0,2018,mlhc2018,https://www.mlforhc.org/s/Tonekaboni_S
Boosted Trees for Risk Prognosis,ML4H,0,1,1,1,1,1,0,2018,mlhc2018,https://www.mlforhc.org/s/1.pdf
Racial Disparities and Mistrust in End-of-Life Care,ML4H,1,0,1,1,1,1,0,2018,mlhc2018,https://www.mlforhc.org/s/2.pdf
Sequential Pattern Analysis on Neurosurgical Simulation Data,ML4H,0,0,0,0,0,1,0,2018,mlhc2018,https://www.mlforhc.org/s/3.pdf
Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy,ML4H,0,0,1,0,0,1,0,2018,mlhc2018,http://proceedings.mlr.press/v85/d-amario18a.html
Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis,ML4H,0,0,0,0,0,1,0,2018,mlhc2018,http://proceedings.mlr.press/v85/durand18a/durand18a.pdf
Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model,ML4H,0,0,1,0,0,0,0,2018,mlhc2018,https://www.mlforhc.org/s/8.pdf
"Modeling ""Presentness"" of Electronic Health Record Data to Improve Patient State Estimation",ML4H,0,0,1,0,0,0,0,2018,mlhc2018,http://proceedings.mlr.press/v85/fauber18a/fauber18a.pdf
Learning to Summarize Electronic Health Records Using Cross-Modality Correspondences,ML4H,0,0,1,1,1,1,0,2018,mlhc2018,https://www.mlforhc.org/s/8.pdf
Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings,ML4H,1,0,0,1,0,0,0,2018,mlhc2018,https://www.mlforhc.org/s/9.pdf
3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities,ML4H,0,0,0,0,0,0,0,2018,mlhc2018,http://proceedings.mlr.press/v85/liu18a.html
Reproducible Survival Prediction with SEER Cancer Data,ML4H,1,0,1,1,1,0,0,2018,mlhc2018,https://www.mlforhc.org/s/11.pdf
Bayesian Trees for Automated Cytometry Data Analysis,ML4H,0,1,0,1,0,0,0,2018,mlhc2018,https://www.mlforhc.org/s/12.pdf
Disease-Atlas: Navigating Disease Trajectories using Deep Learning,ML4H,0,0,1,1,1,1,0,2018,mlhc2018,https://www.mlforhc.org/s/13.pdf
Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks,ML4H,0,0,1,0,0,0,0,2018,mlhc2018,http://proceedings.mlr.press/v85/mahmood18a.html
Representational Learning Approaches for ECG Dynamics to Detect False Arrhythmia Alarms,ML4H,0,1,0,1,0,1,0,2018,mlhc2018,https://dblp.org/rec/conf/mlhc/LehmanKZML18.html
"Deep Spine: Automated Lumbar Vertebral Segmentation, Disc-Level Designation, and Spinal Stenosis Grading Using Deep Learning",ML4H,0,0,1,0,0,1,0,2018,mlhc2018,http://proceedings.mlr.press/v85/lu18a.html
Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization,ML4H,0,1,1,1,1,0,0,2018,mlhc2018,https://arxiv.org/abs/1805.05008
Computer Vision-based Descriptive Analytics of Seniors' Daily Activities for Long-term Health Monitoring,ML4H,0,0,1,0,0,0,0,2018,mlhc2018,https://www.mlforhc.org/s/18.pdf
Integrating Machine Learning and Optimization Methods for Imaging of Patients with Prostate Cancer,ML4H,0,0,1,0,0,1,0,2018,mlhc2018,https://www.mlforhc.org/s/19.pdf
ConvSCCS: Convolutional Self-Controlled Case Series Model for Lagged Adverse Event Detection,ML4H,0,1,1,1,1,1,0,2018,mlhc2018,https://arxiv.org/pdf/1712.08243.pdf
Deep Survival Analysis: Nonparametrics and Missingness,ML4H,0,0,1,0,0,0,0,2018,mlhc2018,http://proceedings.mlr.press/v85/miscouridou18a.html
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks,ML4H,0,0,1,1,1,1,0,2018,mlhc2018,https://www.mlforhc.org/s/22.pdf
Learning from the experts: From diagnostic expert systems to machine learning diagnosis models,ML4H,0,1,1,1,1,0,0,2018,mlhc2018,https://www.mlforhc.org/s/23.pdf
Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition,ML4H,0,1,0,1,0,0,0,2018,mlhc2018,http://proceedings.mlr.press/v85/sachan18a/sachan18a.pdf
A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images,ML4H,1,0,1,1,1,1,0,2018,mlhc2018,https://www.mlforhc.org/s/25.pdf
Phenotyping Endometriosis through Mixed Membership Models of Self-Tracking Data,ML4H,0,0,1,0,0,1,0,2018,mlhc2018,https://static1.squarespace.com/static/59d5ac1780bd5ef9c396eda6/t/5b73739b40ec9a45a95436a1/1534292893333/27.pdf
Preference Learning in Assistive Robotics: Observational Repeated Inverse Reinforcement Learning,ML4H,0,0,1,0,0,0,0,2018,mlhc2018,https://www.mlforhc.org/s/28.pdf
Reinforcement Learning with Action-Derived Rewards for Chemotherapy and Clinical Trial Dosing Regimen Selection,ML4H,0,0,0,0,0,1,0,2018,mlhc2018,https://www.mlforhc.org/s/29.pdf
Multi-Label Learning from Medical Plain Text with Convolutional Residual Models,ML4H,0,0,1,0,0,1,0,2018,mlhc2018,http://proceedings.mlr.press/v85/zhang18a.html
Chronic Disease Prediction Using Medical Notes,ML4H,1,0,1,0,0,0,0,2018,mlhc2018,https://www.mlforhc.org/s/31.pdf
Piecewise-constant parametric approximations for survival learning:,ML4H,0,0,1,1,1,1,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/1%5CCameraReadySubmission%5Cpcpas.pdf
Spatially-Continuous Plantar Pressure Reconstruction Using Compressive Sensing,ML4H,0,0,1,0,0,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/4%5CCameraReadySubmission%5CP_Farnoosh_Sparse_MLHC_2017.pdf
Classifying Lung Cancer Severity with Ensemble Machine Learning in Health Care Claims Data:,ML4H,0,0,1,1,1,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/9%5CCameraReadySubmission%5CCLC_camera_ready.pdf
Predicting long-term mortality with first week post-operative data after Coronary Artery Bypass Grafting using Machine Learning model,ML4H,0,0,1,0,0,1,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/13%5CCameraReadySubmission%5CSubmission%2013%20-%20Forte%20et%20al..pdf
ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information:,ML4H,0,0,1,0,0,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/16_short_fuse_paper(1).pdf
Towards Vision-based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance,ML4H,0,0,1,0,0,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/23%5CCameraReadySubmission%5C0023.pdf
Surgeon Technical Skill Assessment using Computer Vision based Analysis,ML4H,0,0,1,0,0,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/25%5CCameraReadySubmission%5Csample.pdf
Predicting Surgery Duration with Neural Heteroscedastic Regression:,ML4H,0,0,1,0,0,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/26%5CCameraReadySubmission%5Ccamera-ready-predicting(3).pdf
Temporal prediction of multiple sclerosis evolution from patient-centered outcomes,ML4H,0,0,1,0,0,1,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/27%5CCameraReadySubmission%5CFiorini_etal_MLHC2017.pdf
Clustering Patients with Tensor Decomposition,ML4H,0,0,1,0,0,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/31%5CCameraReadySubmission%5Cclustering-patients-tensor-full.pdf
Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach:,ML4H,0,0,1,1,1,1,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/34%5CCameraReadySubmission%5Ccontinuous-state-space%20_FINAL.pdf
Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Model,ML4H,0,0,1,1,1,1,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/37%5CCameraReadySubmission%5CPFS_TTRNN_AFT_CameraReady.pdf
Patient Similarity Using Population Statistics and Multiple Kernel Learning,ML4H,0,0,1,1,1,1,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/40%5CCameraReadySubmission%5Cpatient_similarity.pdf
A Video-Based Method for Automatically Rating Ataxia,ML4H,0,0,1,0,0,1,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/46%5CCameraReadySubmission%5Cmain.pdf
Visualizing Clinical Significance with Prediction and Tolerance Regions:,ML4H,0,0,1,0,0,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/51%5CCameraReadySubmission%5Cjahja_lizotte_tolerance.pdf
Predictive Hierarchical Clustering: Learning clusters of CPT codes for improving surgical outcomes,ML4H,0,1,1,0,0,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/52%5CCameraReadySubmission%5CMLHC_2017_FINAL_cameraready.pdf
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection,ML4H,1,0,1,0,0,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/53%5CCameraReadySubmission%5CCR.pdf
Marked Point Process for Severity of Illness Assessment,ML4H,0,1,1,1,1,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/54%5CCameraReadySubmission%5Cmucmd_edited.pdf
Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study,ML4H,0,0,0,1,0,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/60%5CCameraReadySubmission%5Ccamera-ready_DRL_concept-extract_v2.pdf
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks:,ML4H,1,1,1,1,1,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/62%5CCameraReadySubmission%5Cmedgan-mlhc-2017.pdf
Quantifying Mental Health from Social Media using Learned User Embeddings:,ML4H,1,0,0,1,0,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/63%5CCameraReadySubmission%5Cmlhc_2017.pdf
Clinical Intervention Prediction and Understanding using Deep Networks,ML4H,0,0,1,1,1,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/65%5CCameraReadySubmission%5Cclinical-intervention-prediction%20(4).pdf
Understanding Coagulopathy using Multi-view Data in the Presence of Sub-Cohorts: A Hierarchical Subspace Approach,ML4H,0,0,1,0,0,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/67%5CCameraReadySubmission%5Cunderstanding-coagulopathy-multi%20(6).pdf
Towards a directory of rare disease specialists: Identifying experts from publication history,ML4H,1,0,0,0,0,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/76%5CCameraReadySubmission%5CMLHC.pdf
Reproducibility in critical care: a mortality prediction case study:,ML4H,1,0,1,1,1,0,0,2017,mlhc2017,http://mucmd.org/CameraReadySubmissions/77_reproducibility-critical-care.pdf
Predicting Infant Motor Development Status using Day Long Movement Data from Wearable Sensors,ML4H,0,0,1,0,0,0,0,2018,HD-KDD2018,https://arxiv.org/pdf/1807.02617.pdf
Interpretable Patient Mortality Prediction with Multi-value Rule Sets,ML4H,1,0,1,0,0,0,0,2018,HD-KDD2018,https://arxiv.org/pdf/1807.03633.pdf
Forecasting Disease Trajectories in Alzheimer's Disease Using Deep Learning,ML4H,0,0,1,1,1,1,0,2018,HD-KDD2018,http://arxiv.org/pdf/1807.03159.pdf
PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization,ML4H,0,0,1,1,1,1,0,2018,HD-KDD2018,https://arxiv.org/pdf/1808.02602.pdf
Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment,ML4H,0,0,1,1,1,1,0,2018,HD-KDD2018,https://arxiv.org/pdf/1806.09542.pdf
Ensemble learning with Conformal Predictors: Targeting credible predictions of conversion from Mild Cognitive Impairment to Alzheimer’s Disease,ML4H,0,0,1,0,0,1,0,2018,HD-KDD2018,http://arxiv.org/pdf/1807.01619.pdf
Multi-Task Learning with Incomplete Data for Healthcare,ML4H,0,0,1,1,1,0,0,2018,HD-KDD2018,https://arxiv.org/pdf/1807.02442.pdf
Mammography Dual View Mass Correspondence,ML4H,0,1,0,1,0,0,0,2018,HD-KDD2018,https://arxiv.org/pdf/1807.00637.pdf
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks,ML4H,0,0,1,1,1,0,0,2018,HD-KDD2018,https://arxiv.org/pdf/1807.01705.pdf
YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos,ML4H,0,0,0,1,0,0,0,2018,HD-KDD2018,http://arxiv.org/pdf/1807.03179.pdf
Recognising Cardiac Abnormalities in Wearable Device Photoplethysmography (PPG) with Deep Learning,ML4H,0,0,1,0,0,0,0,2018,HD-KDD2018,https://arxiv.org/pdf/1807.04077.pdf
Online Heart Rate Prediction using Acceleration from a Wrist Worn Wearable,ML4H,0,0,1,0,0,0,0,2018,HD-KDD2018,https://arxiv.org/pdf/1807.04667.pdf
A hybrid deep learning approach for medical relation extraction,ML4H,0,0,0,1,0,0,0,2018,HD-KDD2018,https://arxiv.org/pdf/1806.11189.pdf
Building a Controlled Vocabulary for Standardizing Precision Medicine Terms,ML4H,0,0,0,0,0,0,0,2018,HD-KDD2018,https://arxiv.org/pdf/1807.01000.pdf
Measuring the quality of Synthetic data for use in competitions,ML4H,1,0,0,0,0,0,0,2018,HD-KDD2018,https://arxiv.org/pdf/1806.11345.pdf
Generating Synthetic but Plausible Healthcare Record Datasets,ML4H,1,1,1,1,1,0,0,2018,HD-KDD2018,https://arxiv.org/pdf/1807.01514.pdf
Mammography Assessment using Multi-Scale Deep Classifiers,ML4H,0,0,0,1,0,0,0,2018,HD-KDD2018,https://arxiv.org/pdf/1807.03095.pdf
Synthetic Sampling for Multi-Class Malignancy Prediction,ML4H,0,0,0,1,0,0,0,2018,HD-KDD2018,https://arxiv.org/pdf/1807.02608.pdf
PGLasso: Microbial Community Detection through Phylogenetic Graphical Lasso,ML4H,0,0,0,1,0,1,0,2018,HD-KDD2018,https://arxiv.org/pdf/1807.08039.pdf
Murmur Detection Using Parallel Recurrent & Convolutional Neural Networks,ML4H,0,1,0,1,0,1,0,2018,HD-KDD2018,https://arxiv.org/pdf/1808.04411.pdf
From Text to Topics in Healthcare Records: An Unsupervised Graph Partitioning Methodology,ML4H,0,0,0,1,0,0,0,2018,HD-KDD2018,https://arxiv.org/pdf/1807.02599.pdf
Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions,ML4H,0,0,1,1,1,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.08592
What is Interpretable? Using Machine Learning to Design Interpretable Decision-Support Systems,ML4H,0,0,0,0,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.10799
Natural language understanding for task oriented dialog in the biomedical domain in a low resources context,ML4H,0,0,1,0,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1811.09417
Clinical Concept Extraction with Contextual Word Embedding,ML4H,1,0,0,1,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1810.10566
MATCH-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks,ML4H,0,0,1,1,1,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.10746
Disease phenotyping using deep learning: A diabetes case study,ML4H,0,0,1,0,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.11818
Glottal Closure Instants Detection From Pathological Acoustic Speech Signal Using Deep Learning,ML4H,0,0,1,0,0,0,0,2018,ml4h2018,https://arxiv.org/pdf/1811.09956.pdf
Model-Based Reinforcement Learning for Sepsis Treatment,ML4H,0,0,1,1,1,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.09602
Patchnet: Interpretable Neural Networks for Image Classification,ML4H,0,0,1,1,1,0,0,2018,ml4h2018,https://arxiv.org/abs/1705.08078
Large-scale Generative Modeling to Improve Automated Veterinary Disease Coding,ML4H,0,0,1,0,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.11958
Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions,ML4H,0,0,1,1,1,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.09673
A Framework for Implementing Machine Learning on Omics Data,ML4H,1,1,0,1,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.10455
Population-aware Hierarchical Bayesian Domain Adaptation,ML4H,0,1,1,0,0,0,0,2018,ml4h2018,https://arxiv.org/pdf/1811.08579.pdf
Modeling Irregularly Sampled Clinical Time Series,ML4H,0,0,1,1,1,1,0,2018,ml4h2018,https://arxiv.org/abs/1812.00531
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL,ML4H,0,0,1,1,1,0,0,2018,ml4h2018,https://arxiv.org/abs/1812.00268
Privacy-Preserving Action Recognition for Smart Hospitals using Low-Resolution Depth Images,ML4H,0,0,1,0,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.09950
Fast Learning-based Registration of Sparse Clinical Images,ML4H,1,0,1,0,0,1,0,2018,ml4h2018,https://arxiv.org/pdf/1812.06932.pdf
Improving Clinical Predictions through Unsupervised Time Series Representation Learning,ML4H,0,0,1,1,1,1,0,2018,ml4h2018,https://arxiv.org/abs/1812.00490
Feature Selection Based on Unique Relevant Information for Health Data,ML4H,0,1,1,1,1,0,0,2018,ml4h2018,https://arxiv.org/abs/1812.00415
A Hybrid Instance-based Transfer Learning Method,ML4H,0,1,0,1,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1812.01063
Multiple Instance Learning for ECG Risk Stratification,ML4H,0,1,1,0,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1812.00475
Measuring the Stability of EHR- and EKG-based Predictive Models,ML4H,0,0,1,0,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1812.00210
"Effective, Fast, and Memory-Efficient Compressed Multi-function Convolutional Neural Networks for More Accurate Medical Image Classification",ML4H,0,0,1,1,1,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.11996
Learning Global Additive Explanations for Neural Nets Using Model Distillation,ML4H,0,1,1,1,1,1,0,2018,ml4h2018,https://arxiv.org/abs/1801.08640
Towards generative adversarial networks as a new paradigm for radiology education,ML4H,0,0,1,0,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1812.01547
Probabilistic Joint Face-Skull Modelling for Facial Reconstruction,CV,0,1,1,0,0,1,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Madsen_Probabilistic_Joint_Face-Skull_CVPR_2018_paper.html
Human Semantic Parsing for Person Re-Identification,CV,0,1,0,1,0,0,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Kalayeh_Human_Semantic_Parsing_CVPR_2018_paper.html
Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors,CV,0,1,0,1,0,0,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Noh_Improving_Occlusion_and_CVPR_2018_paper.html
pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment,CV,0,1,0,1,0,0,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Hong_pOSE_Pseudo_Object_CVPR_2018_paper.html
SSNet: Scale Selection Network for Online 3D Action Prediction,CV,0,1,0,1,0,1,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Liu_SSNet_Scale_Selection_CVPR_2018_paper.html
CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition,CV,0,1,0,1,0,0,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Kozerawski_CLEAR_Cumulative_LEARning_CVPR_2018_paper.html
RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials,CV,1,1,0,1,0,0,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Paschalidou_RayNet_Learning_Volumetric_CVPR_2018_paper.html
Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines,CV,0,1,0,1,0,0,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Xie_Environment_Upgrade_Reinforcement_CVPR_2018_paper.html
Self-produced Guidance for Weakly-supervised Object Localization,CV,1,0,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Xiaolin_Zhang_Self-produced_Guidance_for_ECCV_2018_paper.html
Deterministic Consensus Maximization with Biconvex Programming,CV,1,1,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Zhipeng_Cai_Deterministic_Consensus_Maximization_ECCV_2018_paper.html
HiDDeN: Hiding Data with Deep Networks,CV,0,1,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Jiren_Zhu_HiDDeN_Hiding_Data_ECCV_2018_paper.html
Synergy Between Face Alignment and Tracking via Discriminative Global Consensus Optimization,CV,0,1,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Khan_Synergy_Between_Face_ICCV_2017_paper.html
Deep TextSpotter: An End-To-End Trainable Scene Text Localization and Recognition Framework,CV,1,1,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Busta_Deep_TextSpotter_An_ICCV_2017_paper.html
Anticipating Daily Intention Using On-Wrist Motion Triggered Sensing,CV,1,0,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Wu_Anticipating_Daily_Intention_ICCV_2017_paper.html
3D Face Reconstruction from Light Field Images: A Model-free Approach,CV,0,1,0,1,0,1,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Mingtao_Feng_3D_Face_Reconstruction_ECCV_2018_paper.html
Face De-Spoofing: Anti-Spoofing via Noise Modeling,CV,0,1,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Yaojie_Liu_Face_De-spoofing_ECCV_2018_paper.html
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses,CV,1,1,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Zheng_Dang_Eigendecomposition-free_Training_of_ECCV_2018_paper.html
Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking,CV,1,1,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Chenglong_Li_Cross-Modal_Ranking_with_ECCV_2018_paper.html
HybridFusion: Real-Time Performance Capture Using a Single Depth Sensor and Sparse IMUs,CV,0,1,0,1,0,1,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Zerong_Zheng_HybridFusion_Real-Time_Performance_ECCV_2018_paper.html
"Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution From a Blurred Image Sequence",CV,0,1,0,0,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Park_Joint_Estimation_of_ICCV_2017_paper.html
Turning Corners Into Cameras: Principles and Methods,CV,0,1,0,0,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Bouman_Turning_Corners_Into_ICCV_2017_paper.html
An Analysis of Visual Question Answering Algorithms,CV,0,0,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Kafle_An_Analysis_of_ICCV_2017_paper.html
Semantic Video CNNs Through Representation Warping,CV,1,1,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Gadde_Semantic_Video_CNNs_ICCV_2017_paper.html
Attribute-Enhanced Face Recognition With Neural Tensor Fusion Networks,CV,1,1,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Hu_Attribute-Enhanced_Face_Recognition_ICCV_2017_paper.html
Low-Latency Video Semantic Segmentation,CV,0,1,0,1,0,0,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Li_Low-Latency_Video_Semantic_CVPR_2018_paper.html
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption,CV,0,1,0,1,0,1,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Yu_An_Efficient_and_CVPR_2018_paper.html
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking,CV,1,1,0,1,0,0,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Li_Learning_Spatial-Temporal_Regularized_CVPR_2018_paper.html
"Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects",CV,0,1,0,1,0,0,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Islam_Revisiting_Salient_Object_CVPR_2018_paper.html
Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision,CV,0,1,0,1,0,1,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Learning_Deep_Models_CVPR_2018_paper.html
Human Appearance Transfer,CV,0,0,0,1,0,1,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Zanfir_Human_Appearance_Transfer_CVPR_2018_paper.html
Style Aggregated Network for Facial Landmark Detection,CV,1,1,0,1,0,0,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Dong_Style_Aggregated_Network_CVPR_2018_paper.html
Efficient Optimization for Rank-Based Loss Functions,CV,0,1,0,1,0,1,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Mohapatra_Efficient_Optimization_for_CVPR_2018_paper.html
Two-Step Quantization for Low-Bit Neural Networks,CV,0,1,0,1,0,0,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Two-Step_Quantization_for_CVPR_2018_paper.html
Deep Hashing via Discrepancy Minimization,CV,0,1,0,1,0,0,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Deep_Hashing_via_CVPR_2018_paper.html
Learning Single-View 3D Reconstruction with Limited Pose Supervision,CV,1,0,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Guandao_Yang_A_Unified_Framework_ECCV_2018_paper.html
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network,CV,1,1,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Yao_Feng_Joint_3D_Face_ECCV_2018_paper.html
Joint Learning of Intrinsic Images and Semantic Segmentation,CV,1,0,0,1,0,1,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Anil_Baslamisli_Joint_Learning_of_ECCV_2018_paper.html
"PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model",CV,0,0,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/George_Papandreou_PersonLab_Person_Pose_ECCV_2018_paper.html
Group Normalization,CV,1,1,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Yuxin_Wu_Group_Normalization_ECCV_2018_paper.html
WildDash - Creating Hazard-Aware Benchmarks,CV,0,0,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Oliver_Zendel_WildDash_-_Creating_ECCV_2018_paper.html
Learning Discriminative Video Representations Using Adversarial Perturbations,CV,0,1,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Jue_Wang_Learning_Discriminative_Video_ECCV_2018_paper.html
Face Recognition with Contrastive Convolution,CV,0,1,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Chunrui_Han_Face_Recognition_with_ECCV_2018_paper.html
Quadtree Convolutional Neural Networks,CV,0,1,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Pradeep_Kumar_Jayaraman_Quadtree_Convolutional_Neural_ECCV_2018_paper.html
Attend and Rectify: a gated attention mechanism for fine-grained recovery,CV,1,1,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Pau_Rodriguez_Lopez_Attend_and_Rectify_ECCV_2018_paper.html
Depth Estimation Using Structured Light Flow -- Analysis of Projected Pattern Flow on an Object's Surface,CV,0,1,0,0,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Furukawa_Depth_Estimation_Using_ICCV_2017_paper.html
Predicting Deeper Into the Future of Semantic Segmentation,CV,0,1,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Luc_Predicting_Deeper_Into_ICCV_2017_paper.html
"Bounding Boxes, Segmentations and Object Coordinates: How Important Is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?",CV,1,1,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Behl_Bounding_Boxes_Segmentations_ICCV_2017_paper.html
Video Frame Synthesis Using Deep Voxel Flow,CV,1,1,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Liu_Video_Frame_Synthesis_ICCV_2017_paper.html
Learning Discriminative ab-Divergences for Positive Definite Matrices,CV,0,1,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_ICCV_2017/papers/Cherian_Learning_Discriminative_ab-Divergences_ICCV_2017_paper.pdf
Octree Generating Networks: Efficient Convolutional Architectures for High-Resolution 3D Outputs,CV,1,1,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Tatarchenko_Octree_Generating_Networks_ICCV_2017_paper.html
Unpaired Image-To-Image Translation Using Cycle-Consistent Adversarial Networks,CV,1,1,0,1,0,1,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Zhu_Unpaired_Image-To-Image_Translation_ICCV_2017_paper.html
Representation Learning by Learning to Count,CV,0,1,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Noroozi_Representation_Learning_by_ICCV_2017_paper.html
Benchmarking Single-Image Reflection Removal Algorithms,CV,1,0,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Wan_Benchmarking_Single-Image_Reflection_ICCV_2017_paper.html
Dense Non-Rigid Structure-From-Motion and Shading With Unknown Albedos,CV,0,1,0,1,0,1,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Gallardo_Dense_Non-Rigid_Structure-From-Motion_ICCV_2017_paper.html
Automatic Documentation of ICD Codes with Far-Field Speech Recognition,ML4H,0,0,0,0,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1804.11046
Distinguishing correlation from causation using genome-wide association studies,ML4H,0,0,0,1,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1811.08803
Prototypical Clustering Networks for Dermatological Disease Diagnosis,ML4H,0,0,0,1,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1811.03066
Disease Detection in Weakly Annotated Volumetric Medical Images using a Convolutional LSTM Network,ML4H,0,0,0,1,0,0,0,2018,ml4h2018,http://arxiv.org/abs/1812.01087
Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology,ML4H,0,1,0,1,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1812.00884
Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning,ML4H,0,0,0,0,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1811.08943
Unsupervised learning with contrastive latent variable models,ML4H,0,0,0,0,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.06094
Predicting pregnancy using large-scale data from a women's health tracking mobile application,ML4H,0,0,1,0,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1812.02222
DeepSPINE: automated lumbar spinal stenosis grading using deep learning,ML4H,0,0,1,0,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1807.10215
Compensated Integrated Gradients to Reliably Interpret EEG Classification,ML4H,0,1,0,1,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.08633
Deep Ensemble Tensor Factorization for Longitudinal Patient Trajectories Classification,ML4H,0,0,1,1,1,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.10501
TIFTI: A Framework for Extracting Drug Intervals from Longitudinal Clinic Notes,ML4H,0,0,1,0,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.12793
Automatic Diagnosis of Short-Duration 12-Lead ECG using Deep Convolutional Network,ML4H,0,0,0,0,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.12194
A Bayesian model of acquisition and clearance of bacterial colonization,ML4H,0,0,0,0,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1811.10958
A Probabilistic Model of Cardiac Physiology and Electrocardiograms,ML4H,0,1,1,1,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1812.00209
Automated Radiation Therapy Treatment Planning using 3-D Generative Adversarial Networks,ML4H,1,0,0,0,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1807.06489
Imputation of Clinical Covariates in Time Series,ML4H,0,0,1,1,1,0,0,2018,ml4h2018,https://arxiv.org/abs/1812.00418
Advancing PICO Element Detection in Medical Text via Deep Neural Networks,ML4H,0,0,0,1,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1810.12780
Time Aggregation and Model Interpretation for Deep Multivariate Longitudinal Patient Outcome Forecasting Systems in Chronic Ambulatory Care,ML4H,0,0,1,0,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1811.12589
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks,ML4H,0,0,1,0,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.05817
Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI,ML4H,0,0,1,1,1,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.10520
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech,ML4H,0,1,0,1,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1811.12254
Corresponding Projections for Orphan Screening,ML4H,1,0,0,1,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1812.00058
Deep Learning with Attention to Predict Gestational Age of the Fetal Brain,ML4H,0,0,0,0,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1812.07102
Rank Projection Trees for Multilevel Neural Network Interpretation,ML4H,0,1,0,1,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1812.00172
Using permutations to assess confounding in machine learning applications for digital health,ML4H,0,0,1,0,0,1,0,2018,ml4h2018,https://arxiv.org/abs/1811.11920
Robustness against the channel effect in pathological voice detection,ML4H,0,0,1,0,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.10376
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies,ML4H,0,1,1,1,1,0,0,2018,ml4h2018,https://arxiv.org/abs/1812.01716
Modeling the Biological Pathology Continuum with HSIC-regularized Wasserstein Auto-encoders,ML4H,0,1,0,1,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1901.06618
Unsupervised Multimodal Representation Learning across Medical Images and Reports,ML4H,0,0,1,1,1,1,0,2018,ml4h2018,https://arxiv.org/abs/1811.08615
Deep Sequence Modeling for Hemorrhage Diagnosis,ML4H,0,0,0,0,0,1,0,2018,ml4h2018,http://fabianfalck.com/publication/nips2018/
Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records,ML4H,0,0,1,0,0,0,0,2018,ml4h2018,https://arxiv.org/abs/1811.08040
A Deep Generative Model of Vowel Formant Typology,NLP,0,0,0,1,0,0,0,2018,NAACL,https://aclanthology.info/papers/N18-1004/n18-1004
Joint Bootstrapping Machines for High Confidence Relation Extraction,NLP,1,0,0,1,0,0,0,2018,NAACL,https://aclanthology.info/papers/N18-1003/n18-1003
Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages,NLP,1,1,0,1,0,0,0,2018,NAACL,https://aclanthology.info/papers/N18-1005/n18-1005
Entity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure Analysis,NLP,0,1,0,1,0,0,0,2018,ACL,https://acl2018.org/paper/1606
Joint Reasoning for Temporal and Causal Relations,NLP,1,1,0,1,0,0,0,2018,ACL,https://acl2018.org/paper/1095
DeepPavlov: Open-Source Library for Dialogue Systems,NLP,1,1,0,1,0,1,0,2018,ACL,https://acl2018.org/paper/68-demo
"Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference",NLP,0,1,0,1,0,0,0,2018,EMNLP,https://aclanthology.info/papers/D18-1185/d18-1185
Semantic Linking in Convolutional Neural Networks for Answer Sentence Selection,NLP,0,1,0,1,0,1,0,2018,EMNLP,https://aclanthology.info/papers/D18-1133/d18-1133
A Neural Local Coherence Model for Text Quality Assessment,NLP,0,1,0,1,0,1,0,2018,EMNLP,https://aclanthology.info/papers/D18-1464/d18-1464
Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation,NLP,0,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/N18-1006
Parsing Speech: A Neural Approach to Integrating Lexical and Acoustic-Prosodic Information,NLP,1,1,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/N18-1007
Tied Multitask Learning for Neural Speech Translation,NLP,1,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/N18-1008
Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting,NLP,0,0,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/D18-1363
Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning,NLP,0,0,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/D18-1090
Classifying Referential and Non-referential It Using Gaze,NLP,1,0,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/D18-1528
Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions,NLP,0,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/P18-3018
Reinforced Extractive Summarization with Question-Focused Rewards,NLP,0,0,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/P18-3015
End-to-End Reinforcement Learning for Automatic Taxonomy Induction,NLP,1,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/P18-1229
A Genre-Aware Attention Model to Improve the Likability Prediction of Books,NLP,1,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/D18-1375
Rapid Adaptation of Neural Machine Translation to New Languages,NLP,1,0,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/D18-1103
Large-scale Exploration of Neural Relation Classification Architectures,NLP,1,1,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/D18-1250
Stochastic Answer Networks for Machine Reading Comprehension,NLP,0,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/P18-1157
Sense-Aware Neural Models for Pun Location in Texts,NLP,0,0,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/P18-2087
Exemplar Encoder-Decoder for Neural Conversation Generation,NLP,1,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/P18-1123
Please Clap: Modeling Applause in Campaign Speeches,NLP,1,0,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/N18-1009
Attentive Interaction Model: Modeling Changes in View in Argumentation,NLP,1,0,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/N18-1010
"Automatic Focus Annotation: Bringing Formal Pragmatics Alive in
Analyzing the Information Structure of Authentic Data",NLP,0,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/N18-1011
"Interactive Instance-based Evaluation of
Knowledge Base Question Answering",NLP,1,0,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/D18-2020
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain,NLP,0,0,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/D18-1236
A Probabilistic Annotation Model for Crowdsourcing Coreference,NLP,0,1,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/D18-1218
Platforms for Non-Speakers Annotating Names in Any Language,NLP,0,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/P18-4001
A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss,NLP,0,1,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/P18-1013
"NextGen AML: Distributed Deep Learning based Language Technologies
to Augment Anti Money Laundering Investigation",NLP,0,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/P18-4007
"Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer",NLP,1,0,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/N18-1012
Using Large Ensembles of Control Variates for Variational Inference,General,0,1,0,1,0,0,0,2018,NeurIPS,https://papers.nips.cc/paper/8201-using-large-ensembles-of-control-variates-for-variational-inference.pdf
Q-learning with Nearest Neighbors,General,0,0,0,0,0,0,1,2018,NeurIPS,https://papers.nips.cc/paper/7574-q-learning-with-nearest-neighbors.pdf
Scaling the Poisson GLM to massive neural datasets through polynomial approximations,General,1,0,0,1,0,0,0,2018,NeurIPS,https://papers.nips.cc/paper/7611-scaling-the-poisson-glm-to-massive-neural-datasets-through-polynomial-approximations.pdf
Online Learning with an Unknown Fairness Metric,General,0,0,0,0,0,0,1,2018,NeurIPS,https://papers.nips.cc/paper/7526-online-learning-with-an-unknown-fairness-metric.pdf
A Framework for the Quantitative Evaluation of Disentangled Representations,General,1,0,0,1,0,0,0,2018,ICLR,https://openreview.net/forum?id=By-7dz-AZ
A Simple Neural Attentive Meta-Learner,General,0,1,0,1,0,1,0,2018,ICLR,https://openreview.net/forum?id=B1DmUzWAW
Non-Autoregressive Neural Machine Translation,General,0,1,0,1,0,0,0,2018,ICLR,https://openreview.net/forum?id=B1l8BtlCb
Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph,NLP,0,0,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/N18-1013
"A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence
Natural Language Generation",NLP,0,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/N18-1014
Getting Gender Right in Neural Machine Translation,NLP,0,0,0,0,0,0,0,2018,ACL,http://aclweb.org/anthology/D18-1334
Investigating Capsule Networks with Dynamic Routing for Text Classification,NLP,1,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/D18-1350
Textual Analogy Parsing: What’s Shared and What’s Compared among Analogous Facts,NLP,0,0,0,0,0,0,0,2018,ACL,http://aclweb.org/anthology/D18-1008
"Extracting Commonsense Properties from Embeddings with Limited
Human Guidance",NLP,1,1,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/P18-2102
Training Classifiers with Natural Language Explanations,NLP,1,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/P18-1175
"Strong Baselines for Neural Semi-Supervised Learning
under Domain Shift",NLP,1,1,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/P18-1096
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design,General,0,0,0,0,0,0,0,2018,ICLR,https://openreview.net/forum?id=SywXXwJAb
Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution,General,1,0,0,1,0,1,0,2018,KDD,https://www.kdd.org/kdd2018/accepted-papers/view/concepts-bridges-uncovering-conceptual-bridges-based-on-biomedical-concept-
BagMinHash – Minwise Hashing Algorithm for Weighted Sets,General,1,0,0,1,0,1,0,2018,KDD,https://www.kdd.org/kdd2018/accepted-papers/view/bagminhash-minwise-hashing-algorithm-for-weighted-sets
Optimal Distributed Submodular Optimization via Sketching,General,0,1,0,1,0,0,0,2018,KDD,https://www.kdd.org/kdd2018/accepted-papers/view/optimal-distributed-submodular-optimization-via-sketching
Model-based Clustering of Short Text Streams,General,1,1,0,1,0,1,0,2018,KDD,https://www.kdd.org/kdd2018/accepted-papers/view/model-based-clustering-of-short-text-streams
A Melody-conditioned Lyrics Language Model,NLP,0,0,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/N18-1015
Discourse-Aware Neural Rewards for Coherent Text Generation,NLP,0,0,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/N18-1016
Natural Answer Generation with Heterogeneous Memory,NLP,0,1,0,0,0,0,0,2018,ACL,http://aclweb.org/anthology/N18-1017
Improving Abstraction in Text Summarization,NLP,0,1,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/D18-1207
"Hierarchical Neural Networks for Sequential Sentence Classification in
Medical Scientific Abstracts",NLP,1,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/D18-1349
Modeling Localness for Self-Attention Networks,NLP,0,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/D18-1475
Mitigating Adversarial Effects Through Randomization,General,1,0,0,1,0,0,0,2018,ICLR,https://openreview.net/forum?id=Sk9yuql0Z
Hierarchical Representations for Efficient Architecture Search,General,0,0,0,1,0,1,0,2018,ICLR,https://openreview.net/forum?id=BJQRKzbA-
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments,General,1,0,0,1,0,1,0,2018,ICLR,https://openreview.net/forum?id=Sk2u1g-0-
Compressing Word Embeddings via Deep Compositional Code Learning,General,1,0,0,1,0,0,0,2018,ICLR,https://openreview.net/forum?id=BJRZzFlRb
Algorithms for Trip-Vehicle Assignment in Ride-Sharing,General,0,0,0,1,0,0,0,2018,AAAI,https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16583
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples,General,1,1,0,1,0,0,0,2018,AAAI,https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16893
Learning Differences between Visual Scanning Patterns Can Disambiguate Bipolar and Unipolar Patients,General,0,0,1,0,0,0,0,2018,AAAI,https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16184
Comparing Population Means under Local Differential Privacy: with Significance and Power,General,0,0,0,0,0,1,0,2018,AAAI,https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16738
Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention,NLP,0,0,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/P18-2066
Chinese NER Using Lattice LSTM,NLP,1,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/P18-1144
Finding Syntax in Human Encephalography with Beam Search,NLP,0,1,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/P18-1254
"Query and Output: Generating Words by Querying Distributed Word
Representations for Paraphrase Generation",NLP,1,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/N18-1018
"Simplification Using Paraphrases
and Context-based Lexical Substitution",NLP,1,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/N18-1019
"Zero-Shot Question Generation from Knowledge Graphs for Unseen
Predicates and Entity Types",NLP,1,1,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/N18-1020
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning,General,0,1,0,1,0,1,0,2018,ICML,http://proceedings.mlr.press/v80/depeweg18a.html
Large-Scale Cox Process Inference using Variational Fourier Features,General,0,1,0,1,0,1,0,2018,ICML,http://proceedings.mlr.press/v80/john18a.html
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction,General,0,1,0,1,0,0,0,2018,ICML,http://proceedings.mlr.press/v80/brukhim18a.html
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration,General,1,1,0,1,0,0,1,2018,ICML,http://proceedings.mlr.press/v80/poon18a.html
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment,General,1,0,0,1,0,0,0,2018,AAAI,https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17286
"Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication",General,0,0,0,0,0,0,0,2018,AAAI,https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17356
Learning Deep Structured Active Contours End-to-End,CV,1,1,0,1,0,0,0,2018,CVPR,http://openaccess.thecvf.com/content_cvpr_2018/html/Marcos_Learning_Deep_Structured_CVPR_2018_paper.html
Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning,General,0,1,0,1,0,0,0,2018,AAAI,https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16523
Distributed Composite Quantization,General,0,1,0,1,0,0,0,2018,AAAI,https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16470
Resolving Abstract Anaphora in Conversational Assistants using a Hierarchically-stacked RNN,General,0,1,0,1,0,1,0,2018,KDD,https://www.kdd.org/kdd2018/accepted-papers/view/resolving-abstract-anaphora-in-conversational-assistants-using-a-hierarchic
Leveraging Meta-path based Context for Top N recommendation with Co-attention mechanism,General,0,1,0,1,0,1,0,2018,KDD,https://www.kdd.org/kdd2018/accepted-papers/view/leveraging-meta-path-based-context-for-top-n-recommendation-with-co-attenti
Analyzing Uncertainty in Neural Machine Translation,"General, NLP",1,1,0,1,0,0,0,2018,ICML,http://proceedings.mlr.press/v80/ott18a.html
Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning,General,1,0,0,0,0,1,1,2018,ICML,http://proceedings.mlr.press/v80/fruit18a.html
Learning to Share and Hide Intentions using Information Regularization,General,1,1,0,1,0,1,0,2018,NeurIPS,https://papers.nips.cc/paper/8227-learning-to-share-and-hide-intentions-using-information-regularization.pdf
L4: Practical loss-based stepsize adaptation for deep learning,General,0,1,0,1,0,1,0,2018,NeurIPS,https://papers.nips.cc/paper/7879-l4-practical-loss-based-stepsize-adaptation-for-deep-learning.pdf
Automated Essay Scoring in the Presence of Biased Ratings,NLP,0,0,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/N18-1021
Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora,NLP,1,1,0,1,0,0,0,2018,ACL,https://acl2018.org/paper/757
Synthetic Data Made to Order: The Case of Parsing,NLP,1,0,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/D18-1163
Non-Markovian Globally Consistent Multi-Object Tracking,CV,1,1,0,1,0,0,0,2017,ICCV,http://openaccess.thecvf.com/content_iccv_2017/html/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.html
Visual Question Answering as a Meta Learning Task,CV,0,0,0,1,0,0,0,2018,ECCV,http://openaccess.thecvf.com/content_ECCV_2018/html/Damien_Teney_Visual_Question_Answering_ECCV_2018_paper.html
Certified Defenses against Adversarial Examples,General,1,0,0,1,0,0,0,2018,ICLR,https://openreview.net/forum?id=Bys4ob-Rb
Large scale distributed neural network training through online distillation,General,0,1,0,1,0,1,0,2018,ICLR,https://openreview.net/forum?id=rkr1UDeC-
ACTIVATION MAXIMIZATION GENERATIVE ADVERSARIAL NETS,General,1,1,0,1,0,1,0,2018,ICLR,https://openreview.net/forum?id=HyyP33gAZ
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting,General,1,1,0,1,0,1,0,2018,ICLR,https://openreview.net/forum?id=SJiHXGWAZ
Unsupervised Neural Machine Translation,General,1,0,0,1,0,0,0,2018,ICLR,https://openreview.net/forum?id=Sy2ogebAW
Densely Connected Attention Propagation for Reading Comprehension,General,0,1,0,1,0,1,0,2018,NeurIPS,https://papers.nips.cc/paper/7739-densely-connected-attention-propagation-for-reading-comprehension.pdf
Content-Based Citation Recommendation,NLP,1,1,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/N18-1022
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation,General,1,1,0,1,0,0,0,2018,NeurIPS,https://papers.nips.cc/paper/7607-hybrid-mst-a-hybrid-active-sampling-strategy-for-pairwise-preference-aggregation.pdf
Adversarially Robust Optimization with Gaussian Processes,General,1,0,0,1,0,1,0,2018,NeurIPS,https://papers.nips.cc/paper/7818-adversarially-robust-optimization-with-gaussian-processes.pdf
Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images,General,0,1,0,1,0,0,0,2018,NeurIPS,https://papers.nips.cc/paper/8061-deep-network-for-the-integrated-3d-sensing-of-multiple-people-in-natural-images.pdf
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups,General,0,0,0,0,0,0,1,2018,ICML,http://proceedings.mlr.press/v80/kondor18a.html
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences,NLP,1,0,0,1,0,0,0,2018,NAACL,https://aclanthology.info/papers/N18-1023/n18-1023
"Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres",General,1,0,0,1,0,0,0,2018,NeurIPS,https://papers.nips.cc/paper/7589-deep-complex-invertible-networks-for-inversion-of-transmission-effects-in-multimode-optical-fibres.pdf
Neural Architecture Optimization,General,1,1,0,1,0,0,0,2018,NeurIPS,https://papers.nips.cc/paper/8007-neural-architecture-optimization.pdf
"Zero-shot Sequence Labeling:
Transferring Knowledge from Sentences to Tokens",NLP,1,1,1,1,1,0,0,2018,ACL,http://aclweb.org/anthology/N18-1027
PixelSNAIL: An Improved Autoregressive Generative Model,General,1,1,0,1,0,0,0,2018,ICML,http://proceedings.mlr.press/v80/chen18h.html
Transformation Autoregressive Networks,General,1,1,0,1,0,1,0,2018,ICML,http://proceedings.mlr.press/v80/oliva18a.html
Tensorized Projection for High-Dimensional Binary Embedding,General,1,1,0,1,0,0,0,2018,AAAI,https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16380
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors,General,0,0,0,1,0,0,0,2018,ICML,http://proceedings.mlr.press/v80/ghosh18a.html
Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence,General,0,0,0,1,0,0,0,2018,AAAI,https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16074
Norm Conflict Resolution in Stochastic Domains,General,0,0,0,0,0,0,1,2018,AAAI,https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16488
Deep Representation-Decoupling Neural Networks for Monaural Music Mixture Separation,General,0,0,0,1,0,0,0,2018,AAAI,https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16733/15675
Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach,"General, ML4H",0,0,1,0,0,0,0,2018,AAAI,https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16199/15676
Rumor Detection on Twitter with Tree-structured Recursive Neural Networks,NLP,1,1,0,1,0,0,0,2018,ACL,https://acl2018.org/paper/1038
"
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction","General, ML4H",0,0,1,1,1,1,0,2018,AAAI,https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17085/15677
Triangular Architecture for Rare Language Translation,NLP,0,1,0,1,0,0,0,2018,ACL,https://acl2018.org/paper/79
A Neural Architecture for Automated ICD Coding,"NLP, ML4H",0,0,1,1,1,0,0,2018,ACL,https://acl2018.org/paper/228
"Ultra-Fine Entity Typing
",NLP,1,0,0,1,0,0,0,2018,ACL,https://acl2018.org/paper/880
Coherence-Aware Neural Topic Modeling,NLP,0,1,0,1,0,0,0,2018,EMNLP,https://aclanthology.info/papers/D18-1096/d18-1096
"Fluency Boost Learning and Inference for
Neural Grammatical Error Correction",NLP,0,1,0,1,0,1,0,2018,ACL,http://aclweb.org/anthology/P18-1097
Neural Argument Generation Augmented with Externally Retrieved Evidence,NLP,1,0,0,1,0,1,0,2018,ACL,https://acl2018.org/paper/961
An Empirical Study of Building a Strong Baseline for Constituency Parsing,NLP,1,0,0,1,0,1,0,2018,ACL,https://acl2018.org/paper/1501
Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach,NLP,1,1,0,1,0,1,0,2018,ACL,https://acl2018.org/paper/844
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation,NLP,0,1,0,1,0,1,0,2018,ACL,https://acl2018.org/paper/1296
Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays,NLP,0,0,0,1,0,0,0,2018,ACL,https://acl2018.org/paper/1626
Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input,NLP,1,1,0,1,0,1,0,2018,NAACL,https://aclanthology.info/papers/N18-1024/n18-1024
Tempo-Lexical Context Driven Word Embedding for Cross-Session Search Task Extraction,NLP,0,1,0,1,0,1,0,2018,NAACL,https://aclanthology.info/papers/N18-1026/n18-1026
QuickEdit: Editing Text & Translations by Crossing Words Out,NLP,0,1,0,1,0,0,0,2018,NAACL,https://aclanthology.info/papers/N18-1025/n18-1025
Algorithms for Hiring and Outsourcing in the Online Labor Market,General,1,1,0,1,0,0,0,2018,KDD,https://www.kdd.org/kdd2018/accepted-papers/view/algorithms-for-hiring-and-outsourcing-in-the-online-labor-market
Scalable Spectral Clustering Using Random Binning Features,General,0,1,0,1,0,0,0,2018,KDD,https://www.kdd.org/kdd2018/accepted-papers/view/scalable-spectral-clustering-using-random-binning-features
Training Big Random Forests with Little Resources,General,1,1,0,1,0,0,0,2018,KDD,https://www.kdd.org/kdd2018/accepted-papers/view/training-big-random-forests-with-little-resources
Scalable Active Learning by Approximated Error Reduction,General,1,1,0,1,0,0,0,2018,KDD,https://www.kdd.org/kdd2018/accepted-papers/view/scalable-active-learning-by-approximated-error-reduction
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks,General,1,1,0,1,0,0,0,2018,KDD,https://www.kdd.org/kdd2018/accepted-papers/view/easing-embedding-learning-by-comprehensive-transcription-of-heterogeneous-i
Exploring Student Check-In Behavior for Improved Point-of-Interest Prediction,General,0,0,0,0,0,0,0,2018,KDD,https://www.kdd.org/kdd2018/accepted-papers/view/exploring-student-check-in-behavior-for-improved-point-of-interest-predicti
Dynamic Neural Program Embeddings for Program Repair,General,0,1,0,0,0,0,0,2018,ICLR,https://openreview.net/forum?id=BJuWrGW0Z
Alternating Randomized Block Coordinate Descent,General,0,0,0,1,0,0,0,2018,ICML,http://proceedings.mlr.press/v80/diakonikolas18a.html
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations,General,0,1,0,1,0,0,0,2018,ICML,http://proceedings.mlr.press/v80/lu18d.html
Variable Typing: Assigning Meaning to Variables in Mathematical Text,NLP,0,0,0,1,0,1,0,2018,NAACL,https://aclanthology.info/papers/N18-1028/n18-1028
Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing,NLP,0,1,0,1,0,0,0,2018,NAACL,https://aclanthology.info/papers/N18-1029/n18-1029
Comparing Constraints for Taxonomic Organization,NLP,0,1,0,1,0,0,0,2018,NAACL,https://aclanthology.info/papers/N18-1030/n18-1030
http://aclweb.org/anthology/D18-1019,NLP,1,1,0,1,0,0,0,2018,EMNLP,https://aclanthology.info/papers/D18-1019/d18-1019
Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning,NLP,1,0,0,0,0,0,0,2018,EMNLP,https://aclanthology.info/papers/D18-1068/d18-1068
ExtRA: Extracting Prominent Review Aspects from Customer Feedback,NLP,0,0,0,1,0,0,0,2018,EMNLP,https://aclanthology.info/papers/D18-1384/d18-1384
Interpretable Emoji Prediction via Label-Wise Attention LSTMs,NLP,1,1,0,1,0,0,0,2018,EMNLP,https://aclanthology.info/papers/D18-1508/d18-1508
Reducing Gender Bias in Abusive Language Detection,NLP,0,1,0,1,0,0,0,2018,EMNLP,https://aclanthology.info/papers/D18-1302/d18-1302
Lexicosyntactic Inference in Neural Models,NLP,0,1,0,1,0,1,0,2018,EMNLP,https://aclanthology.info/papers/D18-1501/d18-1501
Syntactical Analysis of the Weaknesses of Sentiment Analyzers,NLP,0,1,0,1,0,0,0,2018,EMNLP,https://aclanthology.info/papers/D18-1141/d18-1141
Learning Unsupervised Word Translations Without Adversaries,NLP,0,1,0,1,0,0,0,2018,ACL,http://aclweb.org/anthology/D18-1063
"Early Recognition of Sepsis with Gaussian Process Temporal
Convolutional Networks and Dynamic Time Warping",ML4H,1,0,1,1,1,1,0,2019,MLHC,https://www.mlforhc.org/s/Moor.pdf
"Relaxed Parameter Sharing: Effectively Modeling
Time-Varying Relationships in Clinical Time-Series",ML4H,1,1,1,1,1,1,0,2019,MLHC,https://www.mlforhc.org/s/Oh.pdf
FLARe: Forecasting by Learning Anticipated Representations,ML4H,1,0,1,1,1,0,0,2019,MLHC,https://www.mlforhc.org/s/Devarakonda.pdf
"Multi-Task Gaussian Processes and Dilated Convolutional
Networks for Reconstruction of Reproductive Hormonal
Dynamics",ML4H,1,0,0,0,0,0,0,2019,MLHC,https://www.mlforhc.org/s/Urteaga.pdf
Using Contextual Information to Improve Blood Glucose Prediction,ML4H,0,1,1,1,1,1,0,2019,MLHC,https://www.mlforhc.org/s/Akbari.pdf
Dynamically Personalized Detection of Hemorrhage,ML4H,0,0,0,0,0,1,0,2019,MLHC,https://www.mlforhc.org/s/Nagpal.pdf
"A Spatiotemporal Approach to Predicting Glaucoma
Progression Using a CT-HMM",ML4H,0,0,1,0,0,1,0,2019,MLHC,https://www.mlforhc.org/s/Nagesh.pdf
"Temporal Graph Convolutional Networks for Automatic
Seizure Detection",ML4H,0,0,1,0,0,0,0,2019,MLHC,https://www.mlforhc.org/s/Cover.pdf
"Meta-Weighted Gaussian Process Experts
for Personalized Forecasting of AD Cognitive Changes",ML4H,0,0,1,1,1,1,0,2019,MLHC,https://www.mlforhc.org/s/Rudovic.pdf
Multimodal Machine Learning for Automated ICD Coding,ML4H,0,0,1,1,1,0,0,2019,MLHC,https://www.mlforhc.org/s/Xu_K.pdf
"Clinical Judgement Study using Question Answering from
Electronic Health Records",ML4H,0,0,1,0,0,0,0,2019,MLHC,https://www.mlforhc.org/s/Rawat.pdf
"Self-Attention Based Molecule Representation for Predicting
Drug-Target Interaction",ML4H,0,1,0,1,0,1,0,2019,MLHC,https://www.mlforhc.org/s/Shin.pdf
Clinically Accurate Chest X-Ray Report Generation,ML4H,0,1,1,1,1,0,0,2019,MLHC,https://www.mlforhc.org/s/Liu_G.pdf
A Neural Model for Predicting Dementia from Language,ML4H,0,1,1,1,1,1,0,2019,MLHC,https://www.mlforhc.org/s/Kong.pdf
Predicting Sick Patient Volume in a Pediatric Outpatient Setting using Time Series Analysis,ML4H,1,0,1,0,0,1,0,2019,MLHC,https://www.mlforhc.org/s/Guan.pdf
"Predicting Phase 3 Clinical Trial Results by Modeling Phase
2 Clinical Trial Subject Level Data Using Deep Learning",ML4H,0,0,1,0,0,0,0,2019,MLHC,https://www.mlforhc.org/s/MLHC_YouranQi_QiTang_CameraReadyPaper-Sep-16-2019.pdf
"Phenotype Inference with Semi-Supervised Mixed
Membership Models",ML4H,0,0,1,1,1,0,0,2019,MLHC,https://www.mlforhc.org/s/Rodriguez.pdf
Counterfactual Reasoning for Fair Clinical Risk Prediction,ML4H,0,0,1,0,0,0,0,2019,MLHC,https://www.mlforhc.org/s/Pfohl.pdf
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use,ML4H,0,0,0,0,0,0,,2019,MLHC,https://www.mlforhc.org/s/Tonekaboni.pdf
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks,ML4H,1,0,1,1,1,1,0,2019,MLHC,https://www.mlforhc.org/s/Nestor.pdf
Are Online Reviews of Physicians Biased Against Female Providers?,ML4H,1,1,0,1,0,1,0,2019,MLHC,https://www.mlforhc.org/s/Thawani.pdf
A Calibration Metric for Risk Scores with Survival Data,ML4H,0,1,1,1,1,1,0,2019,MLHC,https://www.mlforhc.org/s/Yadlowsky.pdf
ASAC: Active Sensing using Actor-Critic models,ML4H,0,1,1,1,1,1,0,2019,MLHC,https://www.mlforhc.org/s/Yoon.pdf
Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series,ML4H,1,1,1,1,1,0,0,2019,MLHC,https://www.mlforhc.org/s/Zheng.pdf
"The Medical Deconfounder: Assessing Treatment Eects with
Electronic Health Records (EHRs)",ML4H,0,1,1,0,0,1,0,2019,MLHC,https://www.mlforhc.org/s/Zhang_L.pdf
"EEGtoText: Learning to Write Medical Reports from EEG
Recordings",ML4H,0,1,1,0,0,0,0,2019,MLHC,https://www.mlforhc.org/s/Biswal.pdf
Few-Shot Learning for Dermatological Disease Diagnosis,ML4H,0,0,0,1,0,1,0,2019,MLHC,https://www.mlforhc.org/s/Prabhu.pdf
Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images,ML4H,0,0,0,0,0,0,0,2019,MLHC,https://www.mlforhc.org/s/Dov.pdf
Multi-view Multi-task Learning for Improving Autonomous Mammogram Diagnosis,ML4H,0,1,1,1,1,1,0,2019,MLHC,https://www.mlforhc.org/s/Kyono.pdf
Enhancing high-content imaging for studying microtubule networks at large-scale,ML4H,1,0,0,1,0,1,0,2019,MLHC,https://www.mlforhc.org/s/Lee_HC.pdf
"Simultaneous Measurement Imputation and Outcome
Prediction for Achilles Tendon Rupture Rehabilitation",ML4H,0,0,1,0,0,1,0,2019,MLHC,https://www.mlforhc.org/s/Hamesse.pdf
Automated Estimation of Food Type from Body-worn Audio and Motion Sensors in Free-Living Environments,ML4H,1,1,1,1,1,0,0,2019,MLHC,https://www.mlforhc.org/s/Mirtchouk.pdf
"Embryo Staging with Weakly-Supervised Region Selection
and Dynamically-Decoded Predictions",ML4H,1,0,0,0,0,0,0,2019,MLHC,https://www.mlforhc.org/s/Lau.pdf
Measuring the Sympathetic Response to Intense Exercise in a Practical Setting,ML4H,0,0,1,0,0,0,0,2019,MLHC,https://www.mlforhc.org/s/Kaul.pdf
Learning from Few Subjects with Large Amounts of Voice Monitoring Data,ML4H,0,0,1,0,0,1,0,2019,MLHC,https://www.mlforhc.org/s/Gonzalez_Ortiz.pdf
"SLEEPER: interpretable Sleep staging via Prototypes from
Expert Rules",ML4H,0,1,1,1,1,0,0,2019,MLHC,https://www.mlforhc.org/s/Al-Hussaini.pdf
Medical Concept Normalization by Encoding Target Knowledge,ML4H,1,1,0,1,0,0,0,2019,ML4H,Not-yet-public (ML4H '19 311)
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology,ML4H,0,0,1,0,0,1,0,2019,ML4H,Not-yet-public (ML4H '19 226)
Localization with Limited Annotation for Chest X-rays,ML4H,0,0,1,1,1,0,0,2019,ML4H,Not-yet-public (ML4H '19 73)
Privacy Preserving Human Fall Detection using Video Data,ML4H,0,1,1,1,1,1,0,2019,ML4H,Not-yet-public (ML4H '19 66)
Training without training data: Improving the generalizability of automated medical abbreviation disambiguation,ML4H,1,1,1,1,1,1,0,2019,ML4H,Not-yet-public (ML4H '19 300)
Non-Invasive Silent Speech Recognition in Multiple Sclerosis with Dysphonia,ML4H,0,0,1,0,0,1,0,2019,ML4H,Not-yet-public (ML4H '19 49)
Pain Evaluation in Video using Extended Multitask Learning from Multidimensional Measurements,ML4H,1,1,1,1,0,1,0,2019,ML4H,Not-yet-public (ML4H '19 223)
On the design of convolutional neural networks for automatic detection of Alzheimer’s disease,ML4H,1,0,1,1,0,1,0,2019,ML4H,Not-yet-public (ML4H '19 233)
Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention,ML4H,1,0,1,0,0,1,0,2019,ML4H,Not-yet-public (ML4H '19 124)
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images,ML4H,1,0,1,0,0,1,0,2019,ML4H,Not-yet-public (ML4H '19 42)
Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data,ML4H,0,0,1,1,0,1,0,2019,ML4H,Not-yet-public (ML4H '19 125)
Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation,ML4H,1,1,1,1,1,1,0,2019,ML4H,Not-yet-public (ML4H '19 247)
Pi-PE: A Pipeline for Pulmonary Embolism Detection using Sparsely Annotated 3D CT Images,ML4H,0,0,1,0,0,1,0,2019,ML4H,Not-yet-public (ML4H '19 286)
Generative Smoke Removal,ML4H,1,0,1,1,1,0,0,2019,ML4H,Not-yet-public (ML4H '19 94)
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection,ML4H,1,1,1,1,1,0,0,2019,ML4H,Not-yet-public (ML4H '19 232)
Baselines for Chest X-Ray Report Generation,ML4H,1,0,1,1,1,0,0,2019,ML4H,Not-yet-public (ML4H '19 175)
Minimax Classifier with Box Constraint on the Priors,ML4H,1,0,1,1,1,1,0,2019,ML4H,Not-yet-public (ML4H '19 85)
Revisiting Parameter Estimation in Biological Networks: Influence of Symmetries,ML4H,1,0,0,1,0,1,0,2019,HD-KDD2019,https://www.biorxiv.org/content/10.1101/674739v1
"Cell Images  Classification using Deep Convolutional Auto
encoder",ML4H,0,0,0,1,0,1,0,2019,HD-KDD2019,http://home.biokdd.org/biokdd19/camera_ready/BIOKDD%202019_camera_ready_cell_image_classification.pdf
"Predicting assisted ventilation in Amyotrophic Lateral Sclerosis
using a mixture of experts and conformal predictors",ML4H,0,0,0,0,0,0,0,2019,HD-KDD2019,https://www.researchgate.net/publication/334561366_Predicting_assisted_ventilation_in_Amyotrophic_Lateral_Sclerosis_using_a_mixture_of_experts_and_conformal_predictors
Understanding Behavior of Clinical Models under Domain Shifts,ML4H,0,0,1,1,1,1,0,2019,HD-KDD2019,https://arxiv.org/pdf/1809.07806.pdf
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis,NLP,0,0,0,1,0,1,0,2019,NAACL-2019,https://www.aclweb.org/anthology/N19-1034.pdf
Tweet Stance Detection Using an Attention based Neural Ensemble Mode,NLP,0,0,0,1,0,1,0,2019,NAACL-2019,https://www.aclweb.org/anthology/N19-1185.pdf
"Improving Robustness of Machine Translation with Synthetic Noise
",NLP,0,0,0,1,0,1,0,2019,NAACL-2019,https://www.aclweb.org/anthology/N19-1190.pdf
"Linguistically-Informed Specificity and Semantic Plausibility
for Dialogue Generation",NLP,1,0,0,1,0,1,0,2019,NAACL-2019,https://www.aclweb.org/anthology/N19-1349.pdf
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders,NLP,1,1,0,1,0,0,0,2019,NAACL-2019,https://www.aclweb.org/anthology/N19-1116/
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms,NLP,0,0,0,1,0,0,0,2019,NAACL-2019,https://www.aclweb.org/anthology/N19-1245/
A Submodular Feature-Aware Framework for Label Subset Selection in Extreme Classification Problems,NLP,0,1,0,1,0,1,0,2019,NAACL-2019,https://www.aclweb.org/anthology/N19-1106/
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages,NLP,0,1,0,1,0,1,0,2019,NAACL-2019,https://www.aclweb.org/anthology/N19-1387/
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation,NLP,1,0,0,1,0,1,0,2019,NAACL-2019,https://www.aclweb.org/anthology/N19-1411/
Time-to-Event Prediction for Correlated Clinical Events based on State Space Model,ML4H,0,0,1,1,1,1,0,2019,HD-KDD2019,https://github.com/yuanxue/yuanxue.github.io/blob/master/KDD2019_workshop.pdf
SOAR: Shrinkage Optimized Active Learning with Joint Regularization for Electrocardiographic Signal Classification,ML4H,0,0,0,1,0,0,0,2019,HD-KDD2019,https://drive.google.com/file/d/15f28g4SMslNT0K3TXBavpIPKLNnLPL35/view
Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence Model,ML4H,0,0,0,1,0,1,0,2019,HD-KDD2019,https://arxiv.org/pdf/1907.05597.pdf
Finding Discriminative subgroups of Brain Regions using Tensor Factorisation,ML4H,0,0,1,1,1,1,0,2019,HD-KDD2019,https://github.com/yejinjkim/yejinjkim.github.io/blob/master/papers/DSHealth%20(1).pdf
A Computer Vision Application for Assessing Facial Acne Severity from Selfie Images,ML4H,1,0,0,1,0,1,0,2019,HD-KDD2019,https://arxiv.org/pdf/1907.07901.pdf
Detection of Covariate Interactions by Deep Neural Network Models,ML4H,0,0,0,1,0,1,0,2019,HD-KDD2019,https://dshealthkdd.github.io/dshealth-2019/assets/DSHealth_2019_paper_11.pdf
"Large-Scale, Metric Structure from Motion for Unordered Light Fields",CV,1,1,0,1,0,1,0,2019,CVPR-2019,http://openaccess.thecvf.com/content_CVPR_2019/papers/Nousias_Large-Scale_Metric_Structure_From_Motion_for_Unordered_Light_Fields_CVPR_2019_paper.pdf
Deep Modular Co-Attention Networks for Visual Question Answering,CV,0,0,0,1,0,0,0,2019,CVPR-2019,http://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_Deep_Modular_Co-Attention_Networks_for_Visual_Question_Answering_CVPR_2019_paper.pdf
Unsupervised Face Normalization with Extreme Pose and Expression in the Wild,CV,1,1,0,1,0,1,0,2019,CVPR-2019,http://openaccess.thecvf.com/content_CVPR_2019/papers/Qian_Unsupervised_Face_Normalization_With_Extreme_Pose_and_Expression_in_the_CVPR_2019_paper.pdf
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation,CV,0,0,0,1,0,1,0,2019,CVPR-2019,http://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Joint_Representation_and_Estimator_Learning_for_Facial_Action_Unit_Intensity_CVPR_2019_paper.pdf
Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning,CV,0,1,1,1,1,1,0,2019,CVPR-2019,http://openaccess.thecvf.com/content_CVPR_2019/papers/Wei_Iterative_Reorganization_With_Weak_Spatial_Constraints_Solving_Arbitrary_Jigsaw_Puzzles_CVPR_2019_paper.pdf
Cost-aware Active Learning for Named Entity Recognition in Clinical Text,ML4H,0,0,1,1,1,0,0,2019,HD-KDD2019,https://sbmi.uth.edu/ccb/publications/kdd-2019-workshop-final-rev.pdf
Medical Concept Representation Learning from claims Data and Application to Health Plan Payment Risk Adjustment,ML4H,0,0,1,0,0,0,0,2019,HD-KDD2019,https://arxiv.org/pdf/1907.06600.pdf
Aggregate-Eliminate-Predict: Detecting Adverse Drug Eventsfrom Heterogeneous Electronic Health Records,ML4H,0,0,1,0,0,0,0,2019,HD-KDD2019,https://arxiv.org/pdf/1907.06058.pdf
"Accurate Prediction of Medical Events based on Large
Healthcare Claim Data",ML4H,0,0,0,0,0,0,0,2019,HD-KDD2019,https://drive.google.com/file/d/1ikAuYYaBnVQeSr67xTZaexnnxn3PD_7H/view
Carousel Ads Optimization in Yahoo Gemini Native,General,0,0,0,0,0,0,0,2019,KDD-2019,https://www.kdd.org/kdd2019/accepted-papers/view/carousel-ads-optimization-in-yahoo-gemini-native
Sherlock: A Deep Learning Approach to Semantic Data Type Detection,General,1,0,0,1,0,0,0,2019,KDD-2019,https://www.kdd.org/kdd2019/accepted-papers/view/sherlock-a-deep-learning-approach-to-semantic-data-type-detection
Chainer: a Deep Learning Framework for Accelerating the Research Cycle,General,1,0,0,1,0,0,0,2019,KDD-2019,https://www.kdd.org/kdd2019/accepted-papers/view/chainer-a-deep-learning-framework-for-accelerating-the-research-cycle
A Robust Local Spectral Descriptor for Matching Non-Rigid Shapes with Incompatible Shape Structures,CV,0,0,0,1,0,0,0,2019,CVPR-2019,http://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_A_Robust_Local_Spectral_Descriptor_for_Matching_Non-Rigid_Shapes_With_CVPR_2019_paper.pdf
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection,CV,1,1,0,1,0,0,0,2019,CVPR-2019,http://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_Cascaded_Partial_Decoder_for_Fast_and_Accurate_Salient_Object_Detection_CVPR_2019_paper.pdf
Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages,NLP,0,0,0,0,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1111/
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing,NLP,0,1,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1082/
A Systematic Approach to Detect Hierarchical Healthcare Cost Drivers and Interpretable Change Patterns,ML4H,0,1,1,0,0,0,0,2019,HD-KDD2019,https://arxiv.org/abs/1907.08237
Computational Phenotype Discovery via Probabilistic Independence,ML4H,0,0,1,0,0,0,0,2019,HD-KDD2019,https://arxiv.org/abs/1907.11051
Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning,ML4H,0,0,0,1,0,1,0,2019,HD-KDD2019,https://arxiv.org/abs/1907.03167
An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries,ML4H,0,1,0,1,0,0,0,2019,HD-KDD2019,https://arxiv.org/pdf/1907.08400
An AI-Augmented Lesion Detection Framework For Liver Metastases With Model Interpretability,ML4H,0,0,0,0,0,0,0,2019,HD-KDD2019,https://arxiv.org/pdf/1907.07713.pdf
Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach,ML4H,0,0,1,1,1,1,0,2019,HD-KDD2019,https://arxiv.org/pdf/1907.06162.pdf
Evaluation of Embeddings of Laboratory Test Codes for Patients at a Cancer Center,ML4H,1,0,1,0,0,0,0,2019,HD-KDD2019,https://arxiv.org/abs/1907.09600
Infant Mortality Prediction using Birth Certificate Data,ML4H,0,0,1,0,0,0,0,2019,HD-KDD2019,https://arxiv.org/abs/1907.08968
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics,ML4H,1,0,0,1,0,0,0,2019,HD-KDD2019,https://arxiv.org/abs/1907.08650
Leveraging Linguistic Characteristics for Bipolar Disorder Recognition with Gender Differences,ML4H,0,0,1,0,0,0,0,2019,HD-KDD2019,https://arxiv.org/pdf/1907.07366.pdf
SLAM Endoscopy enhanced by adversarial depth prediction,ML4H,0,0,0,1,0,0,0,2019,HD-KDD2019,https://arxiv.org/abs/1907.00283
Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction,General,1,1,0,1,0,0,0,2019,KDD-2019,https://www.kdd.org/kdd2019/accepted-papers/view/deep-spatio-temporal-neural-networks-for-click-through-rate-prediction
Link Prediction with Signed Latent Factors in Signed Social Networks,General,1,1,0,1,0,0,0,2019,KDD-2019,https://www.kdd.org/kdd2019/accepted-papers/view/defend-explainable-fake-news-detection
dEFEND: Explainable Fake News Detection,General,1,1,0,1,0,0,0,2019,KDD-2019,https://www.kdd.org/kdd2019/accepted-papers/view/link-prediction-with-signed-latent-factors-in-signed-social-networks
A Deep Value-network Based Approach for Multi-Driver Order Dispatching,General,0,0,0,0,0,1,0,2019,KDD-2019,https://www.kdd.org/kdd2019/accepted-papers/view/a-deep-value-network-based-approach-for-multi-driver-order-dispatching
DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events,General,1,0,0,0,0,0,0,2019,KDD-2019,https://www.kdd.org/kdd2019/accepted-papers/view/deepurbanevent-a-system-for-predicting-citywide-crowd-dynamics-at-big-event
Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network,General,0,1,0,1,0,0,0,2019,KDD-2019,https://www.kdd.org/kdd2019/accepted-papers/view/co-prediction-of-multiple-transportation-demands-based-on-deep-spatio-tempo
Optimizing Peer Learning in Online Groups with Affinities,General,0,0,0,0,0,1,0,2019,KDD-2019,https://www.kdd.org/kdd2019/accepted-papers/view/optimizing-peer-learning-in-online-groups-with-affinities
ProGAN: Network Embedding via Proximity Generative Adversarial Network,General,0,1,0,1,0,0,0,2019,KDD-2019,https://www.kdd.org/kdd2019/accepted-papers/view/progan-network-embedding-via-proximity-generative-adversarial-network
Identifiability of Cause and Effect using Regularized Regression,General,1,1,0,1,0,1,0,2019,KDD-2019,https://www.kdd.org/kdd2019/accepted-papers/view/identifiability-of-cause-and-effect-using-regularized-regression
Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study,General,0,0,1,0,0,0,0,2019,KDD-2019,https://www.kdd.org/kdd2019/accepted-papers/view/characterizing-and-detecting-malicious-accounts-inprivacy-centric-mobile-so
Adversarial Learning on Heterogeneous Information Networks,General,0,1,0,1,0,1,0,2019,KDD-2019,https://www.kdd.org/kdd2019/accepted-papers/view/adversarial-learning-on-heterogeneous-information-networks
First-order Adversarial Vulnerability of Neural Networks and Input Dimension,General,1,0,0,1,0,1,1,2019,ICML-2019,http://proceedings.mlr.press/v97/simon-gabriel19a.html
On Symmetric Losses for Learning from Corrupted Labels,General,1,1,0,1,0,1,0,2019,ICML-2019,http://proceedings.mlr.press/v97/charoenphakdee19a.html
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System,General,1,1,0,1,0,1,0,2019,ICML-2019,http://proceedings.mlr.press/v97/chen19f.html
Learning to Optimize Multigrid PDE Solvers,General,0,0,0,0,0,1,1,2019,ICML-2019,http://proceedings.mlr.press/v97/greenfeld19a.html
On Discriminative Learning of Prediction Uncertainty,General,1,1,0,1,0,1,0,2019,ICML-2019,http://proceedings.mlr.press/v97/franc19a.html
Conditional Independence in Testing Bayesian Networks,General,0,0,0,0,0,0,1,2019,ICML-2019,http://proceedings.mlr.press/v97/shen19a.html
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization,General,0,1,0,1,0,1,1,2019,ICML-2019,http://proceedings.mlr.press/v97/ji19a.html
Composing Value Functions in Reinforcement Learning,General,1,0,0,1,0,1,0,2019,ICML-2019,http://proceedings.mlr.press/v97/van-niekerk19a.html
On the Impact of the Activation Function on Deep Neural Networks Training,General,1,1,0,1,0,1,1,2019,ICML-2019,http://proceedings.mlr.press/v97/hayou19a.html
Efficient Full-Matrix Adaptive Regularization,General,1,1,0,1,0,0,0,2019,ICML-2019,http://proceedings.mlr.press/v97/agarwal19b.html
Calibrated Model-Based Deep Reinforcement Learning,General,1,1,0,1,0,1,0,2019,ICML-2019,http://proceedings.mlr.press/v97/malik19a.html
Towards a Deep and Unified Understanding of Deep Neural Models in NLP,General,1,1,0,1,0,0,0,2019,ICML-2019,http://proceedings.mlr.press/v97/guan19a.html
Remember and Forget for Experience Replay,General,1,0,0,1,0,1,0,2019,ICML-2019,http://proceedings.mlr.press/v97/novati19a.html
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE,General,1,1,1,1,1,1,0,2019,ICML-2019,http://proceedings.mlr.press/v97/ma19c.html
Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling,NLP,1,0,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1598/
"Enhancing Topic-to-Essay Generation with External Commonsense
Knowledge",NLP,0,0,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1193/
AMR Parsing as Sequence-to-Graph Transduction,NLP,1,0,0,1,0,1,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1009/
"Errudite: Scalable, Reproducible, and Testable Error Analysis",NLP,1,0,0,1,0,1,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1073/
Detecting Concealed Information in Text and Speech,NLP,0,0,0,0,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1039/
Semantic expressive capacity with bounded memory,NLP,0,0,0,0,0,0,1,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1008/
Predicting Human Activities from User-Generated Content,NLP,0,0,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1245/
A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings,NLP,0,0,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1162/
A Multi-Task Architecture on Relevance-based Neural Query Translation,NLP,0,0,0,1,0,1,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1639/
Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages,NLP,0,0,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1172/
What does BERT learn about the structure of language?,NLP,1,0,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1356/
Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation,NLP,1,1,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1196/
"Analyzing Linguistic Differences between
Owner and Staff Attributed Tweets",NLP,0,0,0,1,0,1,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1274/
Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References,NLP,0,0,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1372/
Joint Slot Filling and Intent Detection via Capsule Neural Networks,NLP,0,1,0,1,0,1,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1519/
Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces,NLP,1,1,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1018/
Reliability-aware Dynamic Feature Composition for Name Tagging,NLP,1,0,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1016/
Adaptive Attention Span in Transformers,NLP,1,1,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1032/
Learning How to Active Learn by Dreaming,NLP,1,1,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1401/
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks,NLP,1,1,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1511/
Generating Question-Answer Hierarchies,NLP,1,1,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1224/
You Write Like You Eat: Stylistic variation as a predictor of social stratification,NLP,1,0,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1246/
Multilingual Constituency Parsing with Self-Attention and Pre-Training,NLP,1,1,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1340/
Mitigating Gender Bias in Natural Language Processing: Literature Review,NLP,0,1,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1159/
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study,NLP,0,1,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1609/
Hubless Nearest Neighbor Search for Bilingual Lexicon Induction,NLP,1,0,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1399/
Identifying Visible Actions in Lifestyle Vlogs,NLP,1,0,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1643/
Enhancing Air Quality Prediction with Social Media and Natural Language Processing,NLP,0,0,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1251/
Variance of average surprisal: a better predictor for quality of grammar from unsupervised PCFG induction,NLP,0,1,0,1,0,0,0,2019,ACL-2019,https://www.aclweb.org/anthology/P19-1235/