A Broad Study of Pre-training for Domain Generalization and Adaptation

22 March 2022

Papers citing "A Broad Study of Pre-training for Domain Generalization and Adaptation"

21 / 21 papers shown

Title
Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification Bryan Wong MunYong Yi Mun Yong Yi VLM 66 0 0 02 Aug 2024
Personalized Adaptation with Pre-trained Speech Encoders for Continuous Emotion Recognition Minh Tran Yufeng Yin M. Soleymani 56 2 0 05 Sep 2023
Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning Songning Lai Jiakang Li Guinan Guo Xifeng Hu Yulong Li ... Yutong Liu Zhaoxia Ren Chun Wan Danmin Miao Zhi Liu SSL 36 9 0 15 May 2023
ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak Kuniaki Saito Theodoros Tsiligkaridis Kate Saenko Bryan A. Plummer OOD 44 9 0 04 Apr 2023
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection Kuniaki Saito Donghyun Kim Piotr Teterwak Rogerio Feris Kate Saenko 44 1 0 26 Mar 2023
The Role of Pre-training Data in Transfer Learning R. Entezari Mitchell Wortsman O. Saukh M. Shariatnia Hanie Sedghi Ludwig Schmidt 46 21 0 27 Feb 2023
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation Andrea Maracani Raffaello Camoriano Elisa Maiettini Davide Talon Lorenzo Rosasco Lorenzo Natale 26 2 0 10 Feb 2023
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation Wenyu Zhang Li Shen Chuan-Sheng Foo TTA AI4CE 34 15 0 15 Dec 2022
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations Raghav Mehta Vítor Albiero Li Chen Ivan Evtimov Tamar Glaser Zhiheng Li Tal Hassner 26 17 0 12 Dec 2022
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain Adaptation I. Diamant Roy H. Jennings Oranit Dror H. Habi Arnon Netzer 28 2 0 07 Dec 2022
Addressing Distribution Shift at Test Time in Pre-trained Language Models Ayush Singh J. Ortega VLM 27 4 0 05 Dec 2022
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain Adaptation Daehan Kim Min-seok Seo Youngjin Jeon Dong-Geol Choi OOD 36 1 0 26 Nov 2022
Cross-domain Transfer of defect features in technical domains based on partial target data T. Schlagenhauf Tim Scheurenbrand 36 1 0 24 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match Myles Bartlett Sara Romiti V. Sharmanska Novi Quadrianto 42 3 0 07 Nov 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning F. Wenzel Andrea Dittadi Peter V. Gehler Carl-Johann Simon-Gabriel Max Horn ... Chris Russell Thomas Brox Bernt Schiele Bernhard Schölkopf Francesco Locatello OOD OODD AAML 60 71 0 19 Jul 2022
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains X. Zhang S. Gu Yutaka Matsuo Yusuke Iwasawa VLM 50 37 0 25 Nov 2021
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 192 258 0 10 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 365 5,811 0 29 Apr 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts Soravit Changpinyo P. Sharma Nan Ding Radu Soricut VLM 299 1,084 0 17 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 337 3,708 0 11 Feb 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 297 10,225 0 16 Nov 2016