On Pitfalls of Test-Time Adaptation

On Pitfalls of Test-Time Adaptation

6 June 2023

Alexandre Alahi

Papers citing "On Pitfalls of Test-Time Adaptation"

9 / 9 papers shown

Title
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation M-U Jang Hye Won Chung TTA 102 0 0 20 Nov 2024
TEA: Test-time Energy Adaptation Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 21 7 0 24 Nov 2023
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization Yongyi Su Xun Xu K. Jia TTA 58 22 0 26 Sep 2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation Skyler Seto B. Theobald Federico Danieli Navdeep Jaitly Dan Busbridge TTA OOD 28 6 0 07 Sep 2023
Evaluation of Test-Time Adaptation Under Computational Time Constraints Motasem Alfarra Hani Itani Alejandro Pardo Shyma Alhuwaider Merey Ramazanova Juan C. Pérez Zhipeng Cai Matthias Müller Bernard Ghanem TTA 19 2 0 10 Apr 2023
TeST: Test-time Self-Training under Distribution Shift Samarth Sinha Peter V. Gehler Francesco Locatello Bernt Schiele TTA OOD 24 22 0 23 Sep 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 75 41 0 22 May 2022
If your data distribution shifts, use self-learning E. Rusak Steffen Schneider George Pachitariu L. Eck Peter V. Gehler Oliver Bringmann Wieland Brendel Matthias Bethge VLM OOD TTA 75 29 0 27 Apr 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019