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

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

22 March 2022
Donghyun Kim
Kaihong Wang
Stan Sclaroff
Kate Saenko
    OOD
    AI4CE
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Papers citing "A Broad Study of Pre-training for Domain Generalization and Adaptation"

15 / 15 papers shown
Title
Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification
Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification
Bryan Wong
MunYong Yi
Mun Yong Yi
VLM
50
0
0
02 Aug 2024
Shared and Private Information Learning in Multimodal Sentiment Analysis
  with Deep Modal Alignment and Self-supervised Multi-Task Learning
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
The Role of Pre-training Data in Transfer Learning
The Role of Pre-training Data in Transfer Learning
R. Entezari
Mitchell Wortsman
O. Saukh
M. Shariatnia
Hanie Sedghi
Ludwig Schmidt
38
20
0
27 Feb 2023
Key Design Choices for Double-Transfer in Source-Free Unsupervised
  Domain Adaptation
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation
Andrea Maracani
Raffaello Camoriano
Elisa Maiettini
Davide Talon
Lorenzo Rosasco
Lorenzo Natale
14
2
0
10 Feb 2023
Rethinking the Role of Pre-Trained Networks in Source-Free Domain
  Adaptation
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation
Wenyu Zhang
Li Shen
Chuan-Sheng Foo
TTA
AI4CE
19
15
0
15 Dec 2022
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations
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
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain Adaptation
I. Diamant
Roy H. Jennings
Oranit Dror
H. Habi
Arnon Netzer
15
2
0
07 Dec 2022
Cross-domain Transfer of defect features in technical domains based on
  partial target data
Cross-domain Transfer of defect features in technical domains based on partial target data
T. Schlagenhauf
Tim Scheurenbrand
28
1
0
24 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match
Okapi: Generalising Better by Making Statistical Matches Match
Myles Bartlett
Sara Romiti
V. Sharmanska
Novi Quadrianto
24
3
0
07 Nov 2022
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains
X. Zhang
S. Gu
Yutaka Matsuo
Yusuke Iwasawa
VLM
30
36
0
25 Nov 2021
Are Transformers More Robust Than CNNs?
Are Transformers More Robust Than CNNs?
Yutong Bai
Jieru Mei
Alan Yuille
Cihang Xie
ViT
AAML
178
257
0
10 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
295
5,761
0
29 Apr 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize
  Long-Tail Visual Concepts
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
Soravit Changpinyo
P. Sharma
Nan Ding
Radu Soricut
VLM
273
1,077
0
17 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
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
293
3,683
0
11 Feb 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,196
0
16 Nov 2016
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