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TitleStatusHype
Automatic Debiased Estimation with Machine Learning-Generated Regressors—0
Difference-in-Differences with Sample Selection—0
Difference-in-Differences with a Misclassified Treatment—0
CoGS: Causality Constrained Counterfactual Explanations using goal-directed ASP—0
Difference-in-Differences: Bridging Normalization and Disentanglement in PG-GAN—0
Cognitive maps and schizophrenia—0
Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search—0
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model—0
DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering—0
DiCoFlex: Model-agnostic diverse counterfactuals with flexible control—0
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation—0
Automated and Distributed Statistical Analysis of Economic Agent-Based Models—0
All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning—0
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning—0
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation—0
Device-Cloud Collaborative Recommendation via Meta Controller—0
Detecting Trojaned DNNs Using Counterfactual Attributions—0
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs—0
Assessing Electricity Service Unfairness with Transfer Counterfactual Learning—0
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias—0
Detecting and Understanding Generalization Barriers for Neural Machine Translation—0
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations—0
CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights based Counterfactual Detection—0
Austria's KlimaTicket: Assessing the short-term impact of a cheap nationwide travel pass on demand—0
Aligning Large Language Models with Counterfactual DPO—0
Designing Counterfactual Generators using Deep Model Inversion—0
Design Information Disclosure under Bidder Heterogeneity in Online Advertising Auctions: Implications of Bid-Adherence Behavior—0
Clinical outcome prediction under hypothetical interventions -- a representation learning framework for counterfactual reasoning—0
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation—0
Deriving Bounds and Inequality Constraints Using LogicalRelations Among Counterfactuals—0
Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering—0
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier—0
Align-Deform-Subtract: An Interventional Framework for Explaining Object Differences—0
Actionable Recourse via GANs for Mobile Health—0
Demographic Biases of Crowd Workers in Key Opinion Leaders Finding—0
Demand and Welfare Analysis in Discrete Choice Models with Social Interactions—0
Delayed and Indirect Impacts of Link Recommendations—0
A Partial Initialization Strategy to Mitigate the Overfitting Problem in CATE Estimation with Hidden Confounding—0
Deep Structural Causal Shape Models—0
CLEAR: Generative Counterfactual Explanations on Graphs—0
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data—0
CLEAR: Causal Explanations from Attention in Neural Recommenders—0
A Two-Stage Mechanism for Demand Response Markets—0
Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning based Recommendation—0
Deep Learning with Logged Bandit Feedback—0
Clarity: an improved gradient method for producing quality visual counterfactual explanations—0
Attribution-based Explanations that Provide Recourse Cannot be Robust—0
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory—0
Circuit-Based Intrinsic Methods to Detect Overfitting—0
Deep Convolutional Neural Networks for Pairwise Causality—0
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