model prediction

Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual Counterfacts EMNLP 2025 Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning AAAI 2025 Adapting to Shifting Correlations with Unlabeled Data Calibration ECCV 2024 Benchmarking Deletion Metrics with the Principled Explanations ICML 2024 Harnessing Large Language Models as Post-hoc Correctors ACL 2024 Counterfactual Memorization in Neural Language Models NeurIPS 2023 Improvement-Focused Causal Recourse (ICR) AAAI 2023 TRAK: Attributing Model Behavior at Scale ICML 2023 Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers ACL 2022 Logic Traps in Evaluating Attribution Scores ACL 2022 Transforming Model Prediction for Tracking CVPR 2022 Estimating Training Data Influence by Tracing Gradient Descent NeurIPS 2020 The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? EMNLP 2020 Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision EMNLP 2020 Efficient and Scalable Multi-Task Regression on Massive Number of Tasks AAAI 2019 What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use MLHC 2019 Regularising Non-linear Models Using Feature Side-information ICML 2017