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TitleStatusHype
Label-Efficient Training for Next Response Selection—0
Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation—0
De-Biased Court's View Generation with Causality—0
Less is More: Attention Supervision with Counterfactuals for Text Classification—0
Exploring Logically Dependent Multi-task Learning with Causal Inference—0
Learning to Contrast the Counterfactual Samples for Robust Visual Question AnsweringCode1
Counterfactual Off-Policy Training for Neural Dialogue Generation—0
Counterfactual Generator: A Weakly-Supervised Method for Named Entity RecognitionCode1
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test—0
Causal Inference for Spatial TreatmentsCode1
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender SystemCode0
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data—0
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender BiasCode1
Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals—0
CoCo: Controllable Counterfactuals for Evaluating Dialogue State TrackersCode1
Counterfactual Representation Learning with Balancing Weights—0
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification—0
The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research—0
Using Deep Image Priors to Generate Counterfactual Explanations—0
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review—0
Causal Impact of Masks, Policies, Behavior on Early Covid-19 Pandemic in the U.S—0
Investigating and Simplifying Masking-based Saliency Methods for Model InterpretabilityCode1
A Decomposition Approach to Counterfactual Analysis in Game-Theoretic Models—0
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction—0
Difference-in-Differences: Bridging Normalization and Disentanglement in PG-GAN—0
Double Robust Representation Learning for Counterfactual PredictionCode0
Geometry matters: Exploring language examples at the decision boundary—0
On the Fairness of Causal Algorithmic RecourseCode1
Counterfactual Variable Control for Robust and Interpretable Question AnsweringCode1
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense ReasoningCode1
Social Commonsense Reasoning with Multi-Head Knowledge AttentionCode1
Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves—0
Scaling Guarantees for Nearest Counterfactual Explanations—0
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented DataCode0
A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations—0
Interpreting Unconditional Quantile Regression with Conditional Independence—0
Reward Machines: Exploiting Reward Function Structure in Reinforcement LearningCode1
A framework for predicting, interpreting, and improving Learning Outcomes—0
Interpretable Sequence Classification via Discrete OptimizationCode0
Efficient computation of contrastive explanationsCode0
Explaining The Efficacy of Counterfactually Augmented Data—0
Disentangling causal effects for hierarchical reinforcement learning—0
Local Regression Distribution EstimatorsCode0
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification—0
Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games—0
A Computational Approach to Identification of Treatment Effects for Policy Evaluation—0
GraphITE: Estimating Individual Effects of Graph-structured Treatments—0
Targeted VAE: Structured Inference and Targeted Learning for Causal Parameter Estimation—0
Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning—0
Targeted VAE: Variational and Targeted Learning for Causal InferenceCode0
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