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counterfactual

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TitleStatusHype
Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and CounterfactualsCode0
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object DetectionCode2
Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent KnowledgeCode0
Restoring Feasibility in Power Grid Optimization: A Counterfactual ML Approach—0
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning—0
When is using AI the rational choice? The importance of counterfactuals in AI deployment decisions—0
Counterfactual Inference under Thompson Sampling—0
Semiparametric Counterfactual RegressionCode0
Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification—0
The quasi-semantic competence of LLMs: a case study on the part-whole relation—0
A Causal Inference Framework for Data Rich Environments—0
All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning—0
WHERE and WHICH: Iterative Debate for Biomedical Synthetic Data Augmentation—0
When Counterfactual Reasoning Fails: Chaos and Real-World Complexity—0
Reinterpreting demand estimation—0
Towards Interpretable Counterfactual Generation via Multimodal Autoregression—0
MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series—0
A Causal Framework to Measure and Mitigate Non-binary Treatment DiscriminationCode0
PyUAT: Open-source Python framework for efficient and scalable cell trackingCode0
What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning—0
Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting—0
Diffusion Counterfactuals for Image RegressorsCode0
Inferring Treatment Effects in Large Panels by Uncovering Latent Similarities—0
Demand Estimation with Text and Image DataCode1
LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused EvaluationCode0
Quantifying Symptom Causality in Clinical Decision Making: An Exploration Using CausaLM—0
Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals—0
EASI Drugs in the Streets of Colombia: Modeling Heterogeneous and Endogenous Drug Preferences—0
Causal Links Between Anthropogenic Emissions and Air Pollution Dynamics in Delhi—0
Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond—0
Generative AI for Validating Physics LawsCode0
Interpretable Neural Causal Models with TRAM-DAGs—0
Ranking Counterfactual Explanations—0
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language ModelsCode1
DeCaFlow: A Deconfounding Causal Generative ModelCode1
Causal Discovery and Counterfactual Reasoning to Optimize Persuasive Dialogue Policies—0
Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems—0
FetalFlex: Anatomy-Guided Diffusion Model for Flexible Control on Fetal Ultrasound Image Synthesis—0
Counterfactual experience augmented off-policy reinforcement learningCode0
Impossible Videos—0
Inducing Causal Structure for Interpretable Neural Networks Applied to Glucose Prediction for T1DM PatientsCode0
HyConEx: Hypernetwork classifier with counterfactual explanationsCode0
Neutralizing Bias in LLM Reasoning using Entailment GraphsCode0
HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks—0
Visual Polarization Measurement Using Counterfactual Image Generation—0
Reasoning is All You Need for Video Generalization: A Counterfactual Benchmark with Sub-question Evaluation—0
Towards Causal Model-Based Policy Optimization—0
BiasConnect: Investigating Bias Interactions in Text-to-Image Models—0
Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information—0
How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit MisinformationCode0
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