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Papers

Showing 751800 of 2765 papers

TitleStatusHype
Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Ultrasound ImagingCode0
Identification and Inference in General Bunching Designs0
An Adversarial Approach to Identification0
Causal Responsibility Attribution for Human-AI CollaborationCode0
A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers0
Counterfactual Explanations via Riemannian Latent Space Traversal0
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency MapsCode0
Counterfactual explainability of black-box prediction models0
Hierarchical and Density-based Causal Clustering0
Constrained Sampling with Primal-Dual Langevin Monte CarloCode0
A Semiparametric Approach to Causal Inference0
Fighting Spurious Correlations in Text Classification via a Causal Learning PerspectiveCode0
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms0
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal PropertiesCode0
Counterfactual MRI Data Augmentation using Conditional Denoising Diffusion Generative ModelsCode0
An Information Criterion for Controlled Disentanglement of Multimodal DataCode0
CoGS: Model Agnostic Causality Constrained Counterfactual Explanations using goal-directed ASP0
Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized RecommendationCode0
Bayesian Counterfactual Prediction Models for HIV Care Retention with Incomplete Outcome and Covariate Information0
Guided Diffusion-based Counterfactual Augmentation for Robust Session-based Recommendation0
CausAdv: A Causal-based Framework for Detecting Adversarial ExamplesCode0
FGCE: Feasible Group Counterfactual Explanations for Auditing Fairness0
Relation-based Counterfactual Data Augmentation and Contrastive Learning for Robustifying Natural Language Inference Models0
Robust Network Targeting with Multiple Nash Equilibria0
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric AssessmentsCode0
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation0
Who is Responsible? Explaining Safety Violations in Multi-Agent Cyber-Physical Systems0
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach0
Peter Parker or Spiderman? Disambiguating Multiple Class Labels0
What Drives Liquidity on Decentralized Exchanges? Evidence from the Uniswap Protocol0
Longitudinal Causal Image SynthesisCode0
Evaluating Explanations Through LLMs: Beyond Traditional User Studies0
How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?Code0
S-CFE: Simple Counterfactual ExplanationsCode0
Performance-Driven QUBO for Recommender Systems on Quantum Annealers0
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property PredictionCode0
Computational Grounding of Responsibility Attribution and Anticipation in LTLf0
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks0
Rethinking Distance Metrics for Counterfactual Explainability0
A Novel Method to Metigate Demographic and Expert Bias in ICD Coding with Causal Inference0
Exogenous Matching: Learning Good Proposals for Tractable Counterfactual EstimationCode0
Private Counterfactual Retrieval0
Learning Counterfactual Distributions via Kernel Nearest Neighbors0
Rethinking Visual Counterfactual Explanations Through Region Constraint0
Using Protected Attributes to Consider Fairness in Multi-Agent Systems0
Evaluation of Attribution Bias in Retrieval-Augmented Large Language Models0
First-Person Fairness in Chatbots0
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision MakingCode0
Counterfactual Analysis in Empirical Games0
Do LLMs Have the Generalization Ability in Conducting Causal Inference?Code0
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