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Masked Images Are Counterfactual Samples for Robust Fine-tuning

Masked Images Are Counterfactual Samples for Robust Fine-tuning

6 March 2023
Yao Xiao
Ziyi Tang
Pengxu Wei
Cong Liu
Liang Lin
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Papers citing "Masked Images Are Counterfactual Samples for Robust Fine-tuning"

20 / 20 papers shown
Title
Masked Image Modeling: A Survey
Masked Image Modeling: A Survey
Vlad Hondru
Florinel-Alin Croitoru
Shervin Minaee
Radu Tudor Ionescu
N. Sebe
106
8
0
13 Aug 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Haoyang Liu
Aditya Singh
Yijiang Li
Haohan Wang
AAML
ViT
76
1
0
15 Mar 2024
Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Percy Liang
OODD
102
655
0
21 Feb 2022
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Chen Wei
Haoqi Fan
Saining Xie
Chaoxia Wu
Alan Yuille
Christoph Feichtenhofer
ViT
137
661
0
16 Dec 2021
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
190
2,315
0
02 Dec 2021
Accuracy on the Line: On the Strong Correlation Between
  Out-of-Distribution and In-Distribution Generalization
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
John Miller
Rohan Taori
Aditi Raghunathan
Shiori Sagawa
Pang Wei Koh
Vaishaal Shankar
Percy Liang
Y. Carmon
Ludwig Schmidt
OODD
OOD
54
269
0
09 Jul 2021
Systematic Evaluation of Causal Discovery in Visual Model Based
  Reinforcement Learning
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Nan Rosemary Ke
Aniket Didolkar
Sarthak Mittal
Anirudh Goyal
Guillaume Lajoie
Stefan Bauer
Danilo Jimenez Rezende
Yoshua Bengio
Michael C. Mozer
C. Pal
CML
59
55
0
02 Jul 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
188
2,790
0
15 Jun 2021
Towards Causal Representation Learning
Towards Causal Representation Learning
Bernhard Schölkopf
Francesco Locatello
Stefan Bauer
Nan Rosemary Ke
Nal Kalchbrenner
Anirudh Goyal
Yoshua Bengio
OOD
CML
AI4CE
95
320
0
22 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
407
3,778
0
11 Feb 2021
What is being transferred in transfer learning?
What is being transferred in transfer learning?
Behnam Neyshabur
Hanie Sedghi
Chiyuan Zhang
76
513
0
26 Aug 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
101
541
0
01 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
OOD
276
1,715
0
29 Jun 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering
Counterfactual Samples Synthesizing for Robust Visual Question Answering
Long Chen
Xin Yan
Jun Xiao
Hanwang Zhang
Shiliang Pu
Yueting Zhuang
OOD
AAML
187
292
0
14 Mar 2020
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
OODD
188
1,454
0
16 Jul 2019
Learning Robust Global Representations by Penalizing Local Predictive
  Power
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang
Songwei Ge
Eric Xing
Zachary Chase Lipton
OOD
88
951
0
29 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
592
4,735
0
13 May 2019
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
248
8,030
0
13 Aug 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
202
9,280
0
14 Dec 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.2K
39,383
0
01 Sep 2014
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