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counterfactual

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Showing 1951–2000 of 2765 papers

TitleStatusHype
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game—0
Informative Robust Causal Representation for Generalizable Deep Learning—0
CausalDyna: Improving Generalization of Dyna-style Reinforcement Learning via Counterfactual-Based Data Augmentation—0
Intervention-based Recurrent Casual Model for Non-stationary Video Causal Discovery—0
Strategic formation of collaborative networks—0
Designing Counterfactual Generators using Deep Model Inversion—0
Discriminative Attribution from Counterfactuals—0
ICPE: An Item Cluster-Wise Pareto-Efficient Framework for Recommendation Debiasing—0
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals—0
Achieving Counterfactual Fairness for Causal Bandit—0
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation—0
Counterfactual Instances Explain Little—0
Dual Behavior Regularized Reinforcement Learning—0
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations—0
Behavior of k-NN as an Instance-Based Explanation Method—0
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning—0
Causal Explanation of Convolutional Neural NetworksCode0
DisCERN:Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods—0
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model ValidationCode1
Uncovering Main Causalities for Long-tailed Information ExtractionCode1
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation—0
HypoGen: Hyperbole Generation with Commonsense and Counterfactual KnowledgeCode0
Counterfactual Adversarial Learning with Representation InterpolationCode0
Table-based Fact Verification with Salience-aware LearningCode0
Desiderata for Representation Learning: A Causal PerspectiveCode1
Counterfactual Evaluation for Explainable AI—0
Estimating Categorical Counterfactuals via Deep Twin Networks—0
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition ModelsCode0
Top-N Recommendation with Counterfactual User Preference Simulation—0
FADE: FAir Double Ensemble Learning for Observable and Counterfactual OutcomesCode0
Matching Theory and Evidence on Covid-19 using a Stochastic Network SIR Model—0
Transport-based Counterfactual ModelsCode0
Factual Consistency Evaluation for Text Summarization via Counterfactual EstimationCode1
Estimating Endogenous Coalitional Mergers: Merger Costs and Assortativeness of Size and Specialization—0
Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents—0
A framework for massive scale personalized promotion—0
ProoFVer: Natural Logic Theorem Proving for Fact VerificationCode1
Reasoning about Counterfactuals and Explanations: Problems, Results and Directions—0
Counterfactual Explainable RecommendationCode1
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis ModelCode1
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to RankCode0
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identificationCode1
Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks—0
CARE: Coherent Actionable Recourse based on Sound Counterfactual ExplanationsCode0
Fairness Through Counterfactual UtilitiesCode0
Sample Observed Effects: Enumeration, Randomization and Generalization—0
TDLS: A Top-Down Layer Searching Algorithm for Generating Counterfactual Visual Explanation—0
Empirical Welfare Economics—0
Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots—0
The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement LearningCode1
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