Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation

18 October 2022

Papers citing "Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation"

10 / 10 papers shown

Title
Towards Understanding Extrapolation: a Causal Lens Lingjing Kong Guangyi Chen P. Stojanov Hao Li Eric P. Xing Anton van den Hengel 170 2 0 17 Jan 2025
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach Yarin Bar Shalev Shaer Yaniv Romano TTA OOD 58 3 0 14 Aug 2024
Efficient Test-Time Prompt Tuning for Vision-Language Models Yuhan Zhu Guozhen Zhang Chen Xu Haocheng Shen Xiaoxin Chen Gangshan Wu Limin Wang VLM 37 2 0 11 Aug 2024
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang Ran He Tien-Ping Tan OOD VLM TTA 35 203 0 27 Mar 2023
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation Haozhi Cao Yuecong Xu Jianfei Yang Pengyu Yin Shenghai Yuan Lihua Xie TTA 32 18 0 18 Mar 2023
Uncovering Adversarial Risks of Test-Time Adaptation Tong Wu Feiran Jia Xiangyu Qi Jiachen T. Wang Vikash Sehwag Saeed Mahloujifar Prateek Mittal AAML TTA 29 9 0 29 Jan 2023
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 79 29 0 27 Apr 2021
Domain Impression: A Source Data Free Domain Adaptation Method V. Kurmi Venkatesh Subramanian Vinay P. Namboodiri TTA 151 150 0 17 Feb 2021
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie Ananya Kumar Robbie Jones Fereshte Khani Tengyu Ma Percy Liang OOD 166 62 0 08 Dec 2020
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 233 789 0 26 Aug 2019