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Causal Inference

523 directly classified papers

Papers per year

Papers

Distilling Causal Effect of Data in Class-Incremental Learning CVPR 2021
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction EMNLP 2021
Uncovering Latent Biases in Text: Method and Application to Peer Review AAAI 2021
Equivalent Causal Models AAAI 2021
Testing Independence Between Linear Combinations for Causal Discovery AAAI 2021
A Theory of Independent Mechanisms for Extrapolation in Generative Models AAAI 2021
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder AAAI 2021
Learning Adjustment Sets from Observational and Limited Experimental Data AAAI 2021
Treatment Effect Estimation with Disentangled Latent Factors AAAI 2021
A Generative Adversarial Framework for Bounding Confounded Causal Effects AAAI 2021
Instrumental Variable-based Identification for Causal Effects using Covariate Information AAAI 2021
Bounding Causal Effects on Continuous Outcome AAAI 2021
Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals AAAI 2021
Improving Causal Inference by Increasing Model Expressiveness AAAI 2021
Uncertain Decisions Facilitate Better Preference Learning NIPS 2021
Learning Faithful Representations of Causal Graphs ACL 2021
De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention ACL 2021
Improving Counterfactual Generation for Fair Hate Speech Detection ACL 2021
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation ACL 2021
It’s quality and quantity: the effect of the amount of comments on online suicidal posts EMNLP 2021
Causal Hidden Markov Model for Time Series Disease Forecasting CVPR 2021
Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community EMNLP 2021
A Survey of Online Hate Speech through the Causal Lens EMNLP 2021
Sensitivity Analysis for Causal Mediation through Text: an Application to Political Polarization EMNLP 2021
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach EMNLP 2021