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Causal Inference

3310 directly classified papers

Papers per year

Papers

Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models ICML 2019
Abstracting Causal Models AAAI 2019
Path-Specific Counterfactual Fairness AAAI 2019
Understanding Persuasion Cascades in Online Product Rating Systems AAAI 2019
Language-Conditioned Graph Networks for Relational Reasoning ICCV 2019
Neural Network Attributions: A Causal Perspective ICML 2019
A Statistical Investigation of Long Memory in Language and Music ICML 2019
Early Rumour Detection NAACL 2019
Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge EMNLP 2019
Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts IJCAI 2019
Idiothetic Verticality Estimation through Head Stabilization Strategy RSS 2019
Counterfactual Story Reasoning and Generation EMNLP 2019
Counterfactual Reasoning in Observational Studies AAAI 2019
R3 Adversarial Network for Cross Model Face Recognition CVPR 2019
Automatic Taxonomy Induction and Expansion IJCNLP 2019
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions IJCAI 2019
Object Conditioning for Causal Inference UAI 2019
When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation AAAI 2019
Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning AAAI 2019
Jointly Extracting Multiple Triplets with Multilayer Translation Constraints AAAI 2019
Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects IJCNLP 2019
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text IJCNLP 2019
One Model to Learn Both: Zero Pronoun Prediction and Translation IJCNLP 2019
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information AAAI 2019
Recovering dropped pronouns in Chinese conversations via modeling their referents NAACL 2019