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Distribution Shift

10 directly classified papers

Papers per year

Papers

Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox NIPS 2024
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning AAAI 2024
MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract) AAAI 2024
Distance-aware Calibration for Pre-trained Language Models EMNLP 2024
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift NIPS 2023
OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression AAAI 2022
On the Impact of Spurious Correlation for Out-of-Distribution Detection AAAI 2022
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift NIPS 2022
Deep Stable Learning for Out-of-Distribution Generalization CVPR 2021
Introspective Distillation for Robust Question Answering NIPS 2021