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1905.13549
Cited By
Learning Robust Global Representations by Penalizing Local Predictive Power
29 May 2019
Haohan Wang
Songwei Ge
Eric P. Xing
Zachary Chase Lipton
OOD
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Papers citing
"Learning Robust Global Representations by Penalizing Local Predictive Power"
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Title
Enhance the Visual Representation via Discrete Adversarial Training
Xiaofeng Mao
YueFeng Chen
Ranjie Duan
Yao Zhu
Gege Qi
Shaokai Ye
Xiaodan Li
Rong Zhang
Hui Xue
44
31
0
16 Sep 2022
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers
Zhiliang Peng
Li Dong
Hangbo Bao
QiXiang Ye
Furu Wei
29
306
0
12 Aug 2022
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
Thao Nguyen
Gabriel Ilharco
Mitchell Wortsman
Sewoong Oh
Ludwig Schmidt
CLIP
VLM
47
99
0
10 Aug 2022
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Giang Nguyen
Mohammad Reza Taesiri
Anh Totti Nguyen
30
42
0
26 Jul 2022
An Impartial Take to the CNN vs Transformer Robustness Contest
Francesco Pinto
Philip Torr
P. Dokania
UQCV
AAML
33
49
0
22 Jul 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
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift
Ananya Kumar
Tengyu Ma
Percy Liang
Aditi Raghunathan
UQCV
OODD
OOD
45
38
0
18 Jul 2022
Contrastive Adapters for Foundation Model Group Robustness
Michael Zhang
Christopher Ré
VLM
18
62
0
14 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization
Weijian Deng
Stephen Gould
Liang Zheng
OOD
32
16
0
14 Jul 2022
Convolutional Bypasses Are Better Vision Transformer Adapters
Shibo Jie
Zhi-Hong Deng
VPVLM
21
131
0
14 Jul 2022
Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation
Ashraful Islam
Bengt Lundell
H. Sawhney
Sudipta N. Sinha
Peter Morales
Richard J. Radke
SSL
34
10
0
10 Jul 2022
Removing Batch Normalization Boosts Adversarial Training
Haotao Wang
Aston Zhang
Shuai Zheng
Xingjian Shi
Mu Li
Zhangyang Wang
40
41
0
04 Jul 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
Francesco Pinto
Harry Yang
Ser-Nam Lim
Philip Torr
P. Dokania
UQCV
33
34
0
29 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution Shift?
Yuge Shi
Imant Daunhawer
Julia E. Vogt
Philip Torr
Amartya Sanyal
OOD
35
25
0
17 Jun 2022
A Meta-Analysis of Distributionally-Robust Models
Ben Feuer
Ameya Joshi
C. Hegde
OOD
VLM
40
3
0
15 Jun 2022
INDIGO: Intrinsic Multimodality for Domain Generalization
Puneet Mangla
Shivam Chandhok
Milan Aggarwal
V. Balasubramanian
Balaji Krishnamurthy
VLM
41
2
0
13 Jun 2022
Neural Prompt Search
Yuanhan Zhang
Kaiyang Zhou
Ziwei Liu
VPVLM
VLM
43
144
0
09 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Hila Chefer
Idan Schwartz
Lior Wolf
ViT
35
38
0
02 Jun 2022
Prefix Conditioning Unifies Language and Label Supervision
Kuniaki Saito
Kihyuk Sohn
Xinming Zhang
Chun-Liang Li
Chen-Yu Lee
Kate Saenko
Tomas Pfister
VLM
CLIP
34
16
0
02 Jun 2022
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
Junlin Han
L. Petersson
Hongdong Li
Ian Reid
36
9
0
31 May 2022
Prompt-aligned Gradient for Prompt Tuning
Beier Zhu
Yulei Niu
Yucheng Han
Yuehua Wu
Hanwang Zhang
VLM
189
272
0
30 May 2022
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
Feng Liang
Yangguang Li
Diana Marculescu
SSL
TPM
ViT
51
22
0
28 May 2022
CyCLIP: Cyclic Contrastive Language-Image Pretraining
Shashank Goel
Hritik Bansal
S. Bhatia
Ryan A. Rossi
Vishwa Vinay
Aditya Grover
CLIP
VLM
182
133
0
28 May 2022
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja
Rachit Bansal
Kyunghyun Cho
João Sedoc
Naomi Saphra
244
45
0
24 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks
Siddhartha Datta
AAML
34
4
0
15 May 2022
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet
Vijay Vasudevan
Benjamin Caine
Raphael Gontijo-Lopes
Sara Fridovich-Keil
Rebecca Roelofs
VLM
UQCV
46
57
0
09 May 2022
Sequencer: Deep LSTM for Image Classification
Yuki Tatsunami
Masato Taki
VLM
ViT
19
78
0
04 May 2022
CoCa: Contrastive Captioners are Image-Text Foundation Models
Jiahui Yu
Zirui Wang
Vijay Vasudevan
Legg Yeung
Mojtaba Seyedhosseini
Yonghui Wu
VLM
CLIP
OffRL
79
1,262
0
04 May 2022
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
Alex Fang
Gabriel Ilharco
Mitchell Wortsman
Yu Wan
Vaishaal Shankar
Achal Dave
Ludwig Schmidt
VLM
OOD
33
139
0
03 May 2022
Causal Transportability for Visual Recognition
Chengzhi Mao
K. Xia
James Wang
Hongya Wang
Junfeng Yang
Elias Bareinboim
Carl Vondrick
CML
OOD
BDL
30
35
0
26 Apr 2022
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
31
310
0
14 Apr 2022
No Token Left Behind: Explainability-Aided Image Classification and Generation
Roni Paiss
Hila Chefer
Lior Wolf
VLM
34
29
0
11 Apr 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization
Zeyi Huang
Haohan Wang
Dong Huang
Yong Jae Lee
Eric P. Xing
16
22
0
09 Apr 2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders
Roman Bachmann
David Mizrahi
Andrei Atanov
Amir Zamir
44
265
0
04 Apr 2022
Improving Vision Transformers by Revisiting High-frequency Components
Jiawang Bai
Liuliang Yuan
Shutao Xia
Shuicheng Yan
Zhifeng Li
Wei Liu
ViT
16
90
0
03 Apr 2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models
Vikash Sehwag
C. Hazirbas
Albert Gordo
Firat Ozgenel
Cristian Canton Ferrer
DiffM
38
66
0
31 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet
Kartik Ahuja
Mohammad Javad Darvishi Bayazi
Pooneh Mousavi
G. Dumas
Irina Rish
OOD
CML
AI4TS
32
29
0
18 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Mitchell Wortsman
Gabriel Ilharco
S. Gadre
Rebecca Roelofs
Raphael Gontijo-Lopes
...
Hongseok Namkoong
Ali Farhadi
Y. Carmon
Simon Kornblith
Ludwig Schmidt
MoMe
54
922
1
10 Mar 2022
Global-Local Regularization Via Distributional Robustness
Hoang Phan
Trung Le
Trung-Nghia Phung
Tu Bui
Nhat Ho
Dinh Q. Phung
OOD
22
12
0
01 Mar 2022
Deconstructing Distributions: A Pointwise Framework of Learning
Gal Kaplun
Nikhil Ghosh
Saurabh Garg
Boaz Barak
Preetum Nakkiran
OOD
33
21
0
20 Feb 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLM
SSL
26
110
0
16 Feb 2022
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
34
101
0
15 Jan 2022
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
Nenad Tomašev
Ioana Bica
Brian McWilliams
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
90
81
0
13 Jan 2022
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
42
4,983
0
10 Jan 2022
Optimal Representations for Covariate Shift
Yangjun Ruan
Yann Dubois
Chris J. Maddison
OOD
28
68
0
31 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
130
0
15 Dec 2021
Dilated convolution with learnable spacings
Ismail Khalfaoui-Hassani
Thomas Pellegrini
T. Masquelier
19
31
0
07 Dec 2021
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap?
Nathan G. Drenkow
Numair Sani
I. Shpitser
Mathias Unberath
19
75
0
01 Dec 2021
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
Yizhou Wang
Shixiang Tang
Feng Zhu
Lei Bai
Rui Zhao
Donglian Qi
Wanli Ouyang
26
51
0
01 Dec 2021
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data
Samarth Mishra
Yikang Shen
Cheng Perng Phoo
Chun-Fu Chen
Leonid Karlinsky
Kate Saenko
Venkatesh Saligrama
Rogerio Feris
26
35
0
30 Nov 2021
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