← Search

Yann Batiste Pequignot

3 accepted papers

2025

A Layer Selection Approach to Test Time Adaptation

AAAI 2025technical

Test Time Adaptation (TTA) addresses the problem of distribution shift by adapting a pretrained model to a new domain during inference. When faced with challenging shifts, most methods collapse and perform worse than the original pretrained model. In this paper, we find that not all layers are equal…

Cited by 0SourcePDFScholar
2024

Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers

NeurIPS 2024poster

Despite extensive research on adversarial training strategies to improve robustness, the decisions of even the most robust deep learning models can still be quite sensitive to imperceptible perturbations, creating serious risks when deploying them for high-stakes real-world applications. While detec…

2024

Tackling the XAI Disagreement Problem with Regional Explanations

AISTATS 2024poster

The XAI Disagreement Problem concerns the fact that various explainability methods yield different local/global insights on model behavior. Thus, given the lack of ground truth in explainability, practitioners are left wondering “Which explanation should I believe?”. In this work, we approach the Di…