Natural Adversarial Examples

16 July 2019

Papers citing "Natural Adversarial Examples"

50 / 1,026 papers shown

Title
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets Charles Lu Anastasios Nikolas Angelopoulos S. Pomerantz 11 30 0 05 Jul 2022
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations Madeline Chantry Schiappa Shruti Vyas Hamid Palangi Yogesh S Rawat Vibhav Vineet VLM 123 18 0 05 Jul 2022
Predicting Out-of-Domain Generalization with Neighborhood Invariance Nathan Ng Neha Hulkund Kyunghyun Cho Marzyeh Ghassemi OOD 27 4 0 05 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 60 11 0 04 Jul 2022
Removing Batch Normalization Boosts Adversarial Training Haotao Wang Aston Zhang Shuai Zheng Xingjian Shi Mu Li Zhangyang Wang 40 42 0 04 Jul 2022
Robustness of Epinets against Distributional Shifts Xiuyuan Lu Ian Osband S. Asghari Sven Gowal Vikranth Dwaracherla Zheng Wen Benjamin Van Roy UQCV OOD 28 0 0 01 Jul 2022
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 30 28 0 30 Jun 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 35 34 0 29 Jun 2022
Learning Debiased Classifier with Biased Committee Nayeong Kim Sehyun Hwang Sungsoo Ahn Jaesik Park Suha Kwak CML 36 54 0 22 Jun 2022
Revisiting Self-Distillation M. Pham Minsu Cho Ameya Joshi C. Hegde 23 22 0 17 Jun 2022
Masked Frequency Modeling for Self-Supervised Visual Pre-Training Jiahao Xie Wei Li Xiaohang Zhan Ziwei Liu Yew-Soon Ong Chen Change Loy 27 70 0 15 Jun 2022
A Simple Data Mixing Prior for Improving Self-Supervised Learning Sucheng Ren Huiyu Wang Zhengqi Gao Shengfeng He Alan Yuille Yuyin Zhou Cihang Xie 18 35 0 15 Jun 2022
InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness Shruthi Gowda Bahram Zonooz Elahe Arani 26 5 0 12 Jun 2022
Lost in Transmission: On the Impact of Networking Corruptions on Video Machine Learning Models Trenton Chang Daniel Y. Fu 26 0 0 10 Jun 2022
Neural Prompt Search Yuanhan Zhang Kaiyang Zhou Ziwei Liu VPVLM VLM 55 145 0 09 Jun 2022
Spatial Entropy as an Inductive Bias for Vision Transformers E. Peruzzo E. Sangineto Yahui Liu Marco De Nadai Wei Bi Bruno Lepri N. Sebe ViT MDE 36 1 0 09 Jun 2022
MobileOne: An Improved One millisecond Mobile Backbone Pavan Kumar Anasosalu Vasu J. Gabriel Jeff J. Zhu Oncel Tuzel Anurag Ranjan 33 155 0 08 Jun 2022
Masked Unsupervised Self-training for Label-free Image Classification Junnan Li Silvio Savarese Steven C. H. Hoi VLM SSL 18 12 0 07 Jun 2022
Which models are innately best at uncertainty estimation? Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 34 5 0 05 Jun 2022
Siamese Image Modeling for Self-Supervised Vision Representation Learning Chenxin Tao Xizhou Zhu Weijie Su Gao Huang Bin Li Jie Zhou Yu Qiao Xiaogang Wang Jifeng Dai SSL 43 94 0 02 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness Hila Chefer Idan Schwartz Lior Wolf ViT 40 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 39 16 0 02 Jun 2022
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping Junlin Han L. Petersson Hongdong Li Ian Reid 41 9 0 31 May 2022
Prompt-aligned Gradient for Prompt Tuning Beier Zhu Yulei Niu Yucheng Han Yuehua Wu Hanwang Zhang VLM 189 275 0 30 May 2022
Unfooling Perturbation-Based Post Hoc Explainers Zachariah Carmichael Walter J. Scheirer AAML 63 14 0 29 May 2022
Generalizing Multimodal Pre-training into Multilingual via Language Acquisition Liang Zhang Anwen Hu Qin Jin VLM 33 5 0 29 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 184 134 0 28 May 2022
Matryoshka Representation Learning Aditya Kusupati Gantavya Bhatt Aniket Rege Matthew Wallingford Aditya Sinha ... William Howard-Snyder Kaifeng Chen Sham Kakade Prateek Jain Ali Farhadi 31 79 0 26 May 2022
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 45 14 0 25 May 2022
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers Bin Ren Yahui Liu Yue Song Wei Bi Rita Cucchiara N. Sebe Wei Wang 57 24 0 25 May 2022
Linear Connectivity Reveals Generalization Strategies Jeevesh Juneja Rachit Bansal Kyunghyun Cho João Sedoc Naomi Saphra 244 45 0 24 May 2022
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks Shutong Wu Sizhe Chen Cihang Xie Xiaolin Huang AAML 51 27 0 24 May 2022
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 16 0 0 23 May 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 85 43 0 22 May 2022
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering Shiquan Yang Xinting Huang Jey Han Lau S. Erfani 20 5 0 20 May 2022
Towards Explanation for Unsupervised Graph-Level Representation Learning Qinghua Zheng Jihong Wang Minnan Luo Yaoliang Yu Jundong Li L. Yao Xiao Chang 24 1 0 20 May 2022
Deep transfer learning for image classification: a survey J. Plested Tom Gedeon OOD 39 37 0 20 May 2022
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification Leo Schwinn Leon Bungert A. Nguyen René Raab Falk Pulsmeyer Doina Precup Björn Eskofier Dario Zanca OOD 56 14 0 19 May 2022
A Psychological Theory of Explainability Scott Cheng-Hsin Yang Tomas Folke Patrick Shafto XAI FAtt 61 16 0 17 May 2022
Sparse Visual Counterfactual Explanations in Image Space Valentyn Boreiko Maximilian Augustin Francesco Croce Philipp Berens Matthias Hein BDL CML 32 26 0 16 May 2022
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 36 4 0 12 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 48 57 0 09 May 2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? Alvin Chan Yew-Soon Ong Clement Tan AAML 24 13 0 09 May 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges Zhenghua Chen Min-man Wu Alvin Chan Xiaoli Li Yew-Soon Ong 24 6 0 08 May 2022
Sequencer: Deep LSTM for Image Classification Yuki Tatsunami Masato Taki VLM ViT 31 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 85 1,263 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
Understanding The Robustness in Vision Transformers Daquan Zhou Zhiding Yu Enze Xie Chaowei Xiao Anima Anandkumar Jiashi Feng J. Álvarez ViT 22 185 0 26 Apr 2022
Visual Attention Emerges from Recurrent Sparse Reconstruction Baifeng Shi Ya-heng Song Neel Joshi Trevor Darrell Xin Eric Wang 3DH 27 6 0 23 Apr 2022