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counterfactual

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TitleStatusHype
The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research0
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review0
Causal Impact of Masks, Policies, Behavior on Early Covid-19 Pandemic in the U.S0
A Decomposition Approach to Counterfactual Analysis in Game-Theoretic Models0
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction0
Difference-in-Differences: Bridging Normalization and Disentanglement in PG-GAN0
Double Robust Representation Learning for Counterfactual PredictionCode0
Geometry matters: Exploring language examples at the decision boundary0
Scaling Guarantees for Nearest Counterfactual Explanations0
Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves0
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 Explanations0
Interpreting Unconditional Quantile Regression with Conditional Independence0
Efficient computation of contrastive explanationsCode0
A framework for predicting, interpreting, and improving Learning Outcomes0
Interpretable Sequence Classification via Discrete OptimizationCode0
Explaining The Efficacy of Counterfactually Augmented Data0
Disentangling causal effects for hierarchical reinforcement learning0
Local Regression Distribution EstimatorsCode0
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification0
Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games0
A Computational Approach to Identification of Treatment Effects for Policy Evaluation0
GraphITE: Estimating Individual Effects of Graph-structured Treatments0
Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning0
Targeted VAE: Variational and Targeted Learning for Causal InferenceCode0
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