FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation

29 March 2025

Mohammadmahdi Honarmand

Papers citing "FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation"

20 / 20 papers shown

Title
Computer Vision Estimation of Emotion Reaction Intensity in the Wild Yang Qian A. Kargarandehkordi O. Mutlu Saimourya Surabhi Mohammadmahdi Honarmand Dennis Paul Wall Peter Washington 47 5 0 19 Mar 2023
ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges D. Kollias 64 127 0 03 Jul 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 101 419 0 25 Mar 2022
Essentials for Class Incremental Learning Sudhanshu Mittal Silvio Galesso Thomas Brox CLL 46 96 0 18 Feb 2021
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 79 479 0 30 Jun 2020
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs Jonathan Frankle D. Schwab Ari S. Morcos 62 141 0 29 Feb 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 93 1,238 0 20 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 354 42,299 0 03 Dec 2019
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace D. Kollias Stefanos Zafeiriou CVBM 70 346 0 25 Sep 2019
Robust Learning with Jacobian Regularization Judy Hoffman Daniel A. Roberts Sho Yaida OOD AAML 48 167 0 07 Aug 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 107 1,594 0 18 Jun 2019
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 112 1,154 0 28 Nov 2018
Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond D. Kollias Panagiotis Tzirakis M. Nicolaou A. Papaioannou Guoying Zhao Björn Schuller I. Kotsia Stefanos Zafeiriou CVBM 95 443 0 29 Apr 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 378 26,365 0 05 Sep 2017
AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild A. Mollahosseini Behzad Hasani Mohammad H. Mahoor CVBM 80 1,631 0 14 Aug 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 313 7,478 0 02 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 474 10,305 0 16 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 282 4,391 0 29 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Revisiting Natural Gradient for Deep Networks Razvan Pascanu Yoshua Bengio ODL 122 388 0 16 Jan 2013