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Counterfactual Explanation

Returns a contrastive argument that permits to achieve the desired class, e.g., “to obtain this loan, you need XXX of annual revenue instead of the current YYY”

Papers

Showing 110 of 177 papers

TitleStatusHype
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object DetectionCode2
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAICode2
OmniXAI: A Library for Explainable AICode2
MACE: An Efficient Model-Agnostic Framework for Counterfactual ExplanationCode2
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same EndCode2
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
Graph Neural Networks for Vulnerability Detection: A Counterfactual ExplanationCode1
Distributional Counterfactual Explanations With Optimal TransportCode1
Fast Diffusion-Based Counterfactuals for Shortcut Removal and GenerationCode1
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQACode1
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