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Natural Adversarial Examples
v1v2v3v4 (latest)

Natural Adversarial Examples

Computer Vision and Pattern Recognition (CVPR), 2019
16 July 2019
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Basel Alomair
    OODD
ArXiv (abs)PDFHTML

Papers citing "Natural Adversarial Examples"

50 / 1,169 papers shown
Removing Batch Normalization Boosts Adversarial Training
Removing Batch Normalization Boosts Adversarial TrainingInternational Conference on Machine Learning (ICML), 2022
Haotao Wang
Aston Zhang
Shuai Zheng
Xingjian Shi
Mu Li
Zinan Lin
223
50
0
04 Jul 2022
Robustness of Epinets against Distributional Shifts
Robustness of Epinets against Distributional Shifts
Xiuyuan Lu
Ian Osband
S. Asghari
Sven Gowal
Vikranth Dwaracherla
Zheng Wen
Benjamin Van Roy
UQCVOOD
150
0
0
01 Jul 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
A. Malinin
A. Athanasopoulos
M. Barakovic
Meritxell Bach Cuadra
Mark Gales
...
Francesco La Rosa
Eli Sivena
V. Tsarsitalidis
Efi Tsompopoulou
E. Volf
OOD
202
36
0
30 Jun 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
Juil Sock
P. Dokania
UQCV
291
39
0
29 Jun 2022
Learning Debiased Classifier with Biased Committee
Learning Debiased Classifier with Biased CommitteeNeural Information Processing Systems (NeurIPS), 2022
Nayeong Kim
Sehyun Hwang
SungSoo Ahn
Jaesik Park
Suha Kwak
CML
463
65
0
22 Jun 2022
Revisiting Self-Distillation
Revisiting Self-Distillation
M. Pham
Minsu Cho
Ameya Joshi
Chinmay Hegde
254
30
0
17 Jun 2022
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
Masked Frequency Modeling for Self-Supervised Visual Pre-TrainingInternational Conference on Learning Representations (ICLR), 2022
Jiahao Xie
Wei Li
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
247
100
0
15 Jun 2022
A Simple Data Mixing Prior for Improving Self-Supervised Learning
A Simple Data Mixing Prior for Improving Self-Supervised LearningComputer Vision and Pattern Recognition (CVPR), 2022
Sucheng Ren
Huiyu Wang
Zhengqi Gao
Shengfeng He
Alan Yuille
Yuyin Zhou
Cihang Xie
180
42
0
15 Jun 2022
InBiaseD: Inductive Bias Distillation to Improve Generalization and
  Robustness through Shape-awareness
InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness
Shruthi Gowda
Bahram Zonooz
Elahe Arani
177
6
0
12 Jun 2022
Lost in Transmission: On the Impact of Networking Corruptions on Video
  Machine Learning Models
Lost in Transmission: On the Impact of Networking Corruptions on Video Machine Learning Models
Trenton Chang
Daniel Y. Fu
107
2
0
10 Jun 2022
Neural Prompt Search
Neural Prompt SearchIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yuanhan Zhang
Kaiyang Zhou
Ziwei Liu
VPVLMVLM
387
176
0
09 Jun 2022
Spatial Entropy as an Inductive Bias for Vision Transformers
Spatial Entropy as an Inductive Bias for Vision TransformersMachine-mediated learning (ML), 2022
E. Peruzzo
E. Sangineto
Yahui Liu
Marco De Nadai
Wei Bi
Bruno Lepri
Andrii Zadaianchuk
ViTMDE
279
7
0
09 Jun 2022
MobileOne: An Improved One millisecond Mobile Backbone
MobileOne: An Improved One millisecond Mobile BackboneComputer Vision and Pattern Recognition (CVPR), 2022
Pavan Kumar Anasosalu Vasu
J. Gabriel
Jeff J. Zhu
Oncel Tuzel
Anurag Ranjan
309
246
0
08 Jun 2022
Masked Unsupervised Self-training for Label-free Image Classification
Masked Unsupervised Self-training for Label-free Image ClassificationInternational Conference on Learning Representations (ICLR), 2022
Junnan Li
Silvio Savarese
Steven C. H. Hoi
VLMSSL
148
19
0
07 Jun 2022
Which models are innately best at uncertainty estimation?
Which models are innately best at uncertainty estimation?
Ido Galil
Mohammed Dabbah
Ran El-Yaniv
UQCV
199
5
0
05 Jun 2022
Siamese Image Modeling for Self-Supervised Vision Representation
  Learning
Siamese Image Modeling for Self-Supervised Vision Representation LearningComputer Vision and Pattern Recognition (CVPR), 2022
Chenxin Tao
Xizhou Zhu
Weijie Su
Gao Huang
Bin Li
Jie Zhou
Yu Qiao
Xiaogang Wang
Jifeng Dai
SSL
301
107
0
02 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Optimizing Relevance Maps of Vision Transformers Improves RobustnessNeural Information Processing Systems (NeurIPS), 2022
Hila Chefer
Idan Schwartz
Lior Wolf
ViT
297
46
0
02 Jun 2022
Prefix Conditioning Unifies Language and Label Supervision
Prefix Conditioning Unifies Language and Label SupervisionComputer Vision and Pattern Recognition (CVPR), 2022
Kuniaki Saito
Kihyuk Sohn
Xinming Zhang
Chun-Liang Li
Chen-Yu Lee
Kate Saenko
Tomas Pfister
VLMCLIP
177
19
0
02 Jun 2022
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
Junlin Han
L. Petersson
Hongdong Li
Ian Reid
171
10
0
31 May 2022
Prompt-aligned Gradient for Prompt Tuning
Prompt-aligned Gradient for Prompt TuningIEEE International Conference on Computer Vision (ICCV), 2022
B. Zhu
Yulei Niu
Yucheng Han
Yuehua Wu
Hanwang Zhang
VLM
730
420
0
30 May 2022
Unfooling Perturbation-Based Post Hoc Explainers
Unfooling Perturbation-Based Post Hoc ExplainersAAAI Conference on Artificial Intelligence (AAAI), 2022
Zachariah Carmichael
Walter J. Scheirer
AAML
212
18
0
29 May 2022
Generalizing Multimodal Pre-training into Multilingual via Language
  Acquisition
Generalizing Multimodal Pre-training into Multilingual via Language Acquisition
Liang Zhang
Anwen Hu
Qin Jin
VLM
141
7
0
29 May 2022
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
Feng Liang
Yangguang Li
Diana Marculescu
SSLTPMViT
295
28
0
28 May 2022
CyCLIP: Cyclic Contrastive Language-Image Pretraining
CyCLIP: Cyclic Contrastive Language-Image PretrainingNeural Information Processing Systems (NeurIPS), 2022
Shashank Goel
Hritik Bansal
S. Bhatia
Ryan Rossi
Vishwa Vinay
Aditya Grover
CLIPVLM
520
165
0
28 May 2022
Matryoshka Representation Learning
Matryoshka Representation LearningNeural Information Processing Systems (NeurIPS), 2022
Aditya Kusupati
Gantavya Bhatt
Aniket Rege
Matthew Wallingford
Aditya Sinha
...
William Howard-Snyder
Kaifeng Chen
Sham Kakade
Prateek Jain
Ali Farhadi
493
169
0
26 May 2022
An Empirical Study on Distribution Shift Robustness From the Perspective
  of Pre-Training and Data Augmentation
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation
Ziquan Liu
Yi Tian Xu
Yuanhong Xu
Qi Qian
Hao Li
Rong Jin
Xiangyang Ji
Antoni B. Chan
OOD
154
19
0
25 May 2022
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision
  Transformers
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision TransformersComputer Vision and Pattern Recognition (CVPR), 2022
Bin Ren
Yahui Liu
Yue Song
Wei Bi
Rita Cucchiara
Andrii Zadaianchuk
Wei Wang
209
38
0
25 May 2022
Linear Connectivity Reveals Generalization Strategies
Linear Connectivity Reveals Generalization StrategiesInternational Conference on Learning Representations (ICLR), 2022
Jeevesh Juneja
Rachit Bansal
Kyunghyun Cho
João Sedoc
Naomi Saphra
855
55
0
24 May 2022
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks
One-Pixel Shortcut: on the Learning Preference of Deep Neural NetworksInternational Conference on Learning Representations (ICLR), 2022
Shutong Wu
Sizhe Chen
Cihang Xie
Xiaolin Huang
AAML
218
35
0
24 May 2022
Supporting Vision-Language Model Inference with Confounder-pruning
  Knowledge Prompt
Supporting Vision-Language Model Inference with Confounder-pruning Knowledge Prompt
Jiangmeng Li
Wenyi Mo
Jingyao Wang
Fuchun Sun
Changwen Zheng
Hui Xiong
Ji-Rong Wen
VLM
229
0
0
23 May 2022
Test-Time Robust Personalization for Federated Learning
Test-Time Robust Personalization for Federated LearningInternational Conference on Learning Representations (ICLR), 2022
Liang Jiang
Tao Lin
FedMLOODTTA
352
54
0
22 May 2022
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training
  and Adversarial Filtering
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial FilteringConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Shiquan Yang
Xinting Huang
Jey Han Lau
S. Erfani
218
6
0
20 May 2022
Towards Explanation for Unsupervised Graph-Level Representation Learning
Towards Explanation for Unsupervised Graph-Level Representation Learning
Qinghua Zheng
Jihong Wang
Minnan Luo
Yaoliang Yu
Jundong Li
Weitong Chen
Xiao Chang
218
1
0
20 May 2022
Deep transfer learning for image classification: a survey
Deep transfer learning for image classification: a survey
J. Plested
Musa Phiri
Tom Gedeon
OOD
215
47
0
20 May 2022
Improving Robustness against Real-World and Worst-Case Distribution
  Shifts through Decision Region Quantification
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region QuantificationInternational Conference on Machine Learning (ICML), 2022
Leo Schwinn
Leon Bungert
A. Nguyen
René Raab
Falk Pulsmeyer
Doina Precup
Björn Eskofier
Dario Zanca
OOD
163
19
0
19 May 2022
A Psychological Theory of Explainability
A Psychological Theory of ExplainabilityInternational Conference on Machine Learning (ICML), 2022
Scott Cheng-Hsin Yang
Tomas Folke
Patrick Shafto
XAIFAtt
197
20
0
17 May 2022
Sparse Visual Counterfactual Explanations in Image Space
Sparse Visual Counterfactual Explanations in Image SpaceGerman Conference on Pattern Recognition (GCPR), 2022
Valentyn Boreiko
Maximilian Augustin
Francesco Croce
Philipp Berens
Matthias Hein
BDLCML
353
33
0
16 May 2022
Distinction Maximization Loss: Efficiently Improving Out-of-Distribution
  Detection and Uncertainty Estimation by Replacing the Loss and Calibrating
Distinction Maximization Loss: Efficiently Improving Out-of-Distribution Detection and Uncertainty Estimation by Replacing the Loss and Calibrating
David Macêdo
Cleber Zanchettin
Teresa B Ludermir
UQCV
387
4
0
12 May 2022
When does dough become a bagel? Analyzing the remaining mistakes on
  ImageNet
When does dough become a bagel? Analyzing the remaining mistakes on ImageNetNeural Information Processing Systems (NeurIPS), 2022
Vijay Vasudevan
Benjamin Caine
Raphael Gontijo-Lopes
Sara Fridovich-Keil
Rebecca Roelofs
VLMUQCV
206
69
0
09 May 2022
How Does Frequency Bias Affect the Robustness of Neural Image
  Classifiers against Common Corruption and Adversarial Perturbations?
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?International Joint Conference on Artificial Intelligence (IJCAI), 2022
Alvin Chan
Yew-Soon Ong
Clement Tan
AAML
174
15
0
09 May 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms
  and Research Challenges
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges
Zhenghua Chen
Ruibing Jin
Alvin Chan
Xiaoli Li
Yew-Soon Ong
175
10
0
08 May 2022
Sequencer: Deep LSTM for Image Classification
Sequencer: Deep LSTM for Image ClassificationNeural Information Processing Systems (NeurIPS), 2022
Yuki Tatsunami
Masato Taki
VLMViT
347
109
0
04 May 2022
CoCa: Contrastive Captioners are Image-Text Foundation Models
CoCa: Contrastive Captioners are Image-Text Foundation Models
Jiahui Yu
Zirui Wang
Vijay Vasudevan
Legg Yeung
Mojtaba Seyedhosseini
Yonghui Wu
VLMCLIPOffRL
703
1,608
0
04 May 2022
Data Determines Distributional Robustness in Contrastive Language Image
  Pre-training (CLIP)
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)International Conference on Machine Learning (ICML), 2022
Alex Fang
Gabriel Ilharco
Mitchell Wortsman
Yu Wan
Vaishaal Shankar
Achal Dave
Ludwig Schmidt
VLMOOD
400
177
0
03 May 2022
Understanding The Robustness in Vision Transformers
Understanding The Robustness in Vision TransformersInternational Conference on Machine Learning (ICML), 2022
Daquan Zhou
Zhiding Yu
Enze Xie
Chaowei Xiao
Anima Anandkumar
Jiashi Feng
J. Álvarez
ViT
404
232
0
26 Apr 2022
Visual Attention Emerges from Recurrent Sparse Reconstruction
Visual Attention Emerges from Recurrent Sparse ReconstructionInternational Conference on Machine Learning (ICML), 2022
Baifeng Shi
Ya-heng Song
Neel Joshi
Trevor Darrell
Xin Eric Wang
3DH
171
7
0
23 Apr 2022
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path
  and Beyond
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and BeyondInternational Conference on Machine Learning (ICML), 2022
Haoxiang Wang
Yue Liu
Han Zhao
OODCLL
221
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0
18 Apr 2022
NICO++: Towards Better Benchmarking for Domain Generalization
NICO++: Towards Better Benchmarking for Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2022
Xingxuan Zhang
Linjun Zhou
Renzhe Xu
Haoxin Liu
Zheyan Shen
Peng Cui
OOD
284
100
0
17 Apr 2022
Visual Attention Methods in Deep Learning: An In-Depth Survey
Visual Attention Methods in Deep Learning: An In-Depth SurveyInformation Fusion (Inf. Fusion), 2022
Mohammed Hassanin
Saeed Anwar
Ibrahim Radwan
Fahad Shahbaz Khan
Lin Wang
343
249
0
16 Apr 2022
Masked Siamese Networks for Label-Efficient Learning
Masked Siamese Networks for Label-Efficient LearningEuropean Conference on Computer Vision (ECCV), 2022
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
330
380
0
14 Apr 2022
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