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Learning Robust Global Representations by Penalizing Local Predictive
  Power

Learning Robust Global Representations by Penalizing Local Predictive Power

29 May 2019
Haohan Wang
Songwei Ge
Eric P. Xing
Zachary Chase Lipton
    OOD
ArXivPDFHTML

Papers citing "Learning Robust Global Representations by Penalizing Local Predictive Power"

50 / 204 papers shown
Title
CLIPood: Generalizing CLIP to Out-of-Distributions
CLIPood: Generalizing CLIP to Out-of-Distributions
Yang Shu
Xingzhuo Guo
Jialong Wu
Ximei Wang
Jianmin Wang
Mingsheng Long
OODD
VLM
43
74
0
02 Feb 2023
Fourier Sensitivity and Regularization of Computer Vision Models
Fourier Sensitivity and Regularization of Computer Vision Models
K. Krishnamachari
See-Kiong Ng
Chuan-Sheng Foo
OOD
28
2
0
31 Jan 2023
Benchmarking Robustness to Adversarial Image Obfuscations
Benchmarking Robustness to Adversarial Image Obfuscations
Florian Stimberg
Ayan Chakrabarti
Chun-Ta Lu
Hussein Hazimeh
Otilia Stretcu
...
Merve Kaya
Cyrus Rashtchian
Ariel Fuxman
Mehmet Tek
Sven Gowal
AAML
29
10
0
30 Jan 2023
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object
  Classification
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification
Ali Borji
VLM
37
0
0
29 Jan 2023
Alignment with human representations supports robust few-shot learning
Alignment with human representations supports robust few-shot learning
Ilia Sucholutsky
Thomas L. Griffiths
24
25
0
27 Jan 2023
Out of Distribution Performance of State of Art Vision Model
Out of Distribution Performance of State of Art Vision Model
Salman Rahman
W. Lee
37
2
0
25 Jan 2023
RILS: Masked Visual Reconstruction in Language Semantic Space
RILS: Masked Visual Reconstruction in Language Semantic Space
Shusheng Yang
Yixiao Ge
Kun Yi
Dian Li
Ying Shan
Xiaohu Qie
Xinggang Wang
CLIP
43
11
0
17 Jan 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with
  Multimodal Models
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Zhiqiu Lin
Samuel Yu
Zhiyi Kuang
Deepak Pathak
Deva Ramana
VLM
15
100
0
16 Jan 2023
Rethinking Precision of Pseudo Label: Test-Time Adaptation via
  Complementary Learning
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning
Jiayi Han
Longbin Zeng
Liang Du
Weiyang Ding
Jianfeng Feng
OOD
TTA
21
14
0
15 Jan 2023
SMMix: Self-Motivated Image Mixing for Vision Transformers
SMMix: Self-Motivated Image Mixing for Vision Transformers
Mengzhao Chen
Mingbao Lin
Zhihang Lin
Yu-xin Zhang
Fei Chao
Rongrong Ji
45
10
0
26 Dec 2022
Domain Generalization by Learning and Removing Domain-specific Features
Domain Generalization by Learning and Removing Domain-specific Features
Yuzhu Ding
Lei Wang
Binxin Liang
Shuming Liang
Yang Wang
Fangxiao Chen
OOD
30
40
0
14 Dec 2022
Localized Latent Updates for Fine-Tuning Vision-Language Models
Localized Latent Updates for Fine-Tuning Vision-Language Models
Moritz Ibing
I. Lim
Leif Kobbelt
VLM
26
1
0
13 Dec 2022
Improving Zero-shot Generalization and Robustness of Multi-modal Models
Improving Zero-shot Generalization and Robustness of Multi-modal Models
Yunhao Ge
Jie Jessie Ren
Andrew Gallagher
Yuxiao Wang
Ming Yang
Hartwig Adam
Laurent Itti
Balaji Lakshminarayanan
Jiaping Zhao
VLM
27
33
0
04 Dec 2022
Finetune like you pretrain: Improved finetuning of zero-shot vision
  models
Finetune like you pretrain: Improved finetuning of zero-shot vision models
Sachin Goyal
Ananya Kumar
Sankalp Garg
Zico Kolter
Aditi Raghunathan
CLIP
VLM
31
136
0
01 Dec 2022
Exploiting Category Names for Few-Shot Classification with
  Vision-Language Models
Exploiting Category Names for Few-Shot Classification with Vision-Language Models
Taihong Xiao
Zirui Wang
Liangliang Cao
Jiahui Yu
Shengyang Dai
Ming Yang
VLM
MLLM
27
5
0
29 Nov 2022
Context-Aware Robust Fine-Tuning
Context-Aware Robust Fine-Tuning
Xiaofeng Mao
YueFeng Chen
Xiaojun Jia
Rong Zhang
Hui Xue
Zhao Li
VLM
CLIP
30
24
0
29 Nov 2022
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain Adaptation
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain Adaptation
Daehan Kim
Min-seok Seo
Youngjin Jeon
Dong-Geol Choi
OOD
28
1
0
26 Nov 2022
Localized Shortcut Removal
Localized Shortcut Removal
Nicolas M. Muller
Jochen Jacobs
Jennifer Williams
Konstantin Böttinger
23
0
0
24 Nov 2022
EVA: Exploring the Limits of Masked Visual Representation Learning at
  Scale
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
Yuxin Fang
Wen Wang
Binhui Xie
Quan-Sen Sun
Ledell Yu Wu
Xinggang Wang
Tiejun Huang
Xinlong Wang
Yue Cao
VLM
CLIP
64
674
0
14 Nov 2022
Local Manifold Augmentation for Multiview Semantic Consistency
Local Manifold Augmentation for Multiview Semantic Consistency
Yu Yang
Wing Yin Cheung
Chang-rui Liu
Xiang Ji
31
1
0
05 Nov 2022
MetaFormer Baselines for Vision
MetaFormer Baselines for Vision
Weihao Yu
Chenyang Si
Pan Zhou
Mi Luo
Yichen Zhou
Jiashi Feng
Shuicheng Yan
Xinchao Wang
MoE
34
156
0
24 Oct 2022
lo-fi: distributed fine-tuning without communication
lo-fi: distributed fine-tuning without communication
Mitchell Wortsman
Suchin Gururangan
Shen Li
Ali Farhadi
Ludwig Schmidt
Michael G. Rabbat
Ari S. Morcos
27
24
0
19 Oct 2022
A Unified View of Masked Image Modeling
A Unified View of Masked Image Modeling
Zhiliang Peng
Li Dong
Hangbo Bao
QiXiang Ye
Furu Wei
VLM
52
35
0
19 Oct 2022
Is synthetic data from generative models ready for image recognition?
Is synthetic data from generative models ready for image recognition?
Ruifei He
Shuyang Sun
Xin Yu
Chuhui Xue
Wenqing Zhang
Philip H. S. Torr
Song Bai
Xiaojuan Qi
35
285
0
14 Oct 2022
Learning to Decompose Visual Features with Latent Textual Prompts
Learning to Decompose Visual Features with Latent Textual Prompts
Feng Wang
Manling Li
Xudong Lin
Hairong Lv
A. Schwing
Heng Ji
VLM
19
23
0
09 Oct 2022
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
F. Khan
VPVLM
VLM
191
531
0
06 Oct 2022
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
Guangyi Chen
Weiran Yao
Xiangchen Song
Xinyue Li
Yongming Rao
Kun Zhang
VPVLM
VLM
8
62
0
03 Oct 2022
Visual Prompt Tuning for Generative Transfer Learning
Visual Prompt Tuning for Generative Transfer Learning
Kihyuk Sohn
Yuan Hao
José Lezama
Luisa F. Polanía
Huiwen Chang
Han Zhang
Irfan Essa
Lu Jiang
VPVLM
VLM
56
81
0
03 Oct 2022
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
Janghyeon Lee
Jongsuk Kim
Hyounguk Shon
Bumsoo Kim
Seung Wook Kim
Honglak Lee
Junmo Kim
CLIP
VLM
50
53
0
27 Sep 2022
Quality Not Quantity: On the Interaction between Dataset Design and
  Robustness of CLIP
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
42
97
0
10 Aug 2022
Visual correspondence-based explanations improve AI robustness and
  human-AI team accuracy
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
An Impartial Take to the CNN vs Transformer Robustness Contest
Francesco Pinto
Philip H. S. Torr
P. Dokania
UQCV
AAML
27
48
0
22 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
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
54
71
0
19 Jul 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution
  shift
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift
Ananya Kumar
Tengyu Ma
Percy Liang
Aditi Raghunathan
UQCV
OODD
OOD
42
38
0
18 Jul 2022
Contrastive Adapters for Foundation Model Group Robustness
Contrastive Adapters for Foundation Model Group Robustness
Michael Zhang
Christopher Ré
VLM
13
61
0
14 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization
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
Convolutional Bypasses Are Better Vision Transformer Adapters
Shibo Jie
Zhi-Hong Deng
VPVLM
10
131
0
14 Jul 2022
Self-supervised Learning with Local Contrastive Loss for Detection and
  Semantic Segmentation
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
31
9
0
10 Jul 2022
Removing Batch Normalization Boosts Adversarial Training
Removing Batch Normalization Boosts Adversarial Training
Haotao Wang
Aston Zhang
Shuai Zheng
Xingjian Shi
Mu Li
Zhangyang Wang
32
41
0
04 Jul 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and
  Out Distribution Robustness
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
Francesco Pinto
Harry Yang
Ser-Nam Lim
Philip H. S. Torr
P. Dokania
UQCV
27
34
0
29 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution
  Shift?
How Robust is Unsupervised Representation Learning to Distribution Shift?
Yuge Shi
Imant Daunhawer
Julia E. Vogt
Philip H. S. Torr
Amartya Sanyal
OOD
32
25
0
17 Jun 2022
A Meta-Analysis of Distributionally-Robust Models
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
INDIGO: Intrinsic Multimodality for Domain Generalization
Puneet Mangla
Shivam Chandhok
Milan Aggarwal
V. Balasubramanian
Balaji Krishnamurthy
VLM
35
2
0
13 Jun 2022
Neural Prompt Search
Neural Prompt Search
Yuanhan Zhang
Kaiyang Zhou
Ziwei Liu
VPVLM
VLM
34
144
0
09 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Hila Chefer
Idan Schwartz
Lior Wolf
ViT
32
37
0
02 Jun 2022
Prefix Conditioning Unifies Language and Label Supervision
Prefix Conditioning Unifies Language and Label Supervision
Kuniaki Saito
Kihyuk Sohn
X. Zhang
Chun-Liang Li
Chen-Yu Lee
Kate Saenko
Tomas Pfister
VLM
CLIP
34
16
0
02 Jun 2022
Prompt-aligned Gradient for Prompt Tuning
Prompt-aligned Gradient for Prompt Tuning
Beier Zhu
Yulei Niu
Yucheng Han
Yuehua Wu
Hanwang Zhang
VLM
183
271
0
30 May 2022
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
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
CyCLIP: Cyclic Contrastive Language-Image Pretraining
Shashank Goel
Hritik Bansal
S. Bhatia
Ryan A. Rossi
Vishwa Vinay
Aditya Grover
CLIP
VLM
173
132
0
28 May 2022
Linear Connectivity Reveals Generalization Strategies
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja
Rachit Bansal
Kyunghyun Cho
João Sedoc
Naomi Saphra
237
45
0
24 May 2022
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