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conftrace_

counterfactual reasoning

262 papers

Papers

Causes of Effects: Learning Individual Responses from Population Data IJCAI 2022 Contextual Debiasing for Visual Recognition With Causal Mechanisms CVPR 2022 CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination NAACL 2022 Counterfactual harm NeurIPS 2022 Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN IJCAI 2022 CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering EMNLP 2022 Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning AAAI 2022 Deep Causal Metric Learning ICML 2022 Diagnostics-Guided Explanation Generation AAAI 2022 DISSECT: Disentangled Simultaneous Explanations via Concept Traversals ICLR 2022 Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals WACV 2022 Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space ICLR 2022 Intermediate Entity-based Sparse Interpretable Representation Learning EMNLP 2022 Learning from Counterfactual Links for Link Prediction ICML 2022 Off-Policy Evaluation for Action-Dependent Non-stationary Environments NeurIPS 2022 Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios COLING 2022 The COVID That Wasn’t: Counterfactual Journalism Using GPT COLING 2022 Unsupervised Editing for Counterfactual Stories AAAI 2022 Use-Case-Grounded Simulations for Explanation Evaluation NeurIPS 2022 VACA: Designing Variational Graph Autoencoders for Causal Queries AAAI 2022 A Causal Lens for Controllable Text Generation NeurIPS 2021 Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners ICML 2021 Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021 Counterfactual Matters: Intrinsic Probing For Dialogue State Tracking EMNLP 2021 Counterfactual Maximum Likelihood Estimation for Training Deep Networks NeurIPS 2021