Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations

4 July 2018

Papers citing "Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations"

41 / 41 papers shown

Title
Componential Prompt-Knowledge Alignment for Domain Incremental Learning Kunlun Xu Xu Zou Gang Hua Jiahuan Zhou CLL 91 0 0 07 May 2025
Boosting Single-domain Generalized Object Detection via Vision-Language Knowledge Interaction Xiaoran Xu Jiangang Yang Wenyue Chong Wenhui Shi Shri Kiran Srinivasan Jing Xing Jian Liu ObjD VLM 84 0 0 27 Apr 2025
BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning Yu Zhou Bingyan Liu FedML OOD TTA 59 0 0 09 Mar 2025
Investigating the Robustness and Properties of Detection Transformers (DETR) Toward Difficult Images Zhao Ning Zou Yuhang Zhang Robert Wijaya 28 0 0 12 Oct 2023
Dual Focal Loss for Calibration Linwei Tao Minjing Dong Chang Xu UQCV 52 26 0 23 May 2023
FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations Ioannis Sarridis C. Koutlis Symeon Papadopoulos Christos Diou 42 9 0 27 Apr 2023
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation Joshua Vendrow Saachi Jain Logan Engstrom A. Madry OOD 32 34 0 15 Feb 2023
Calibrating a Deep Neural Network with Its Predecessors Linwei Tao Minjing Dong Daochang Liu Changming Sun Chang Xu BDL UQCV 16 5 0 13 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 43 13 0 01 Feb 2023
Understanding the Robustness of Multi-Exit Models under Common Corruptions Akshay Mehra Skyler Seto Navdeep Jaitly B. Theobald AAML 24 3 0 03 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 33 2 0 01 Dec 2022
On the Design of Privacy-Aware Cameras: a Study on Deep Neural Networks Marcela Carvalho Oussama Ennaffi S. Chateau Samy Ait Bachir 29 1 0 24 Aug 2022
Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels Yinpeng Chen Zhiyu Pan Min Shi Hao Lu Zhiguo Cao Weicai Zhong GAN 19 3 0 31 Jul 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 23 90 0 29 Jun 2022
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP) A. Vaswani Gaurav Aggarwal Praneeth Netrapalli N. Hegde 31 4 0 17 Jun 2022
Fast AdvProp Jieru Mei Yucheng Han Yutong Bai Yixiao Zhang Yingwei Li Xianhang Li Alan Yuille Cihang Xie AAML 29 8 0 21 Apr 2022
Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation Wei Dai Daniel Berleant VLM AAML 27 8 0 02 Mar 2022
Deep Ensembles Work, But Are They Necessary? Taiga Abe E. Kelly Buchanan Geoff Pleiss R. Zemel John P. Cunningham OOD UQCV 44 60 0 14 Feb 2022
Learning from the Tangram to Solve Mini Visual Tasks Yizhou Zhao Liang Qiu Pan Lu Feng Shi Tian Han Song-Chun Zhu 25 5 0 12 Dec 2021
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba A. Madry KELM 186 89 0 02 Dec 2021
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 195 258 0 10 Nov 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan Guanzhi Wang De-An Huang Zhiding Yu Li Fei-Fei Yuke Zhu Anima Anandkumar OffRL 30 63 0 17 Jun 2021
3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc Hadi Salman Andrew Ilyas Sai H. Vemprala Logan Engstrom ... Pengchuan Zhang Shibani Santurkar Greg Yang Ashish Kapoor A. Madry 40 40 0 07 Jun 2021
LiftPool: Bidirectional ConvNet Pooling Jiaojiao Zhao Cees G. M. Snoek 8 19 0 02 Apr 2021
Respecting Domain Relations: Hypothesis Invariance for Domain Generalization Ziqi Wang Marco Loog Jan van Gemert OOD 24 48 0 15 Oct 2020
Spatially-Variant CNN-based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy Adrian Shajkofci M. Liebling 25 43 0 08 Oct 2020
Shift Equivariance in Object Detection M. Manfredi Yu Wang ObjD 17 18 0 13 Aug 2020
On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga Jessica Yung Michael Tschannen Rob Romijnders Lucas Beyer ... D. Moldovan Sylvain Gelly N. Houlsby Xiaohua Zhai Mario Lucic OOD 13 154 0 16 Jul 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 41 159 0 08 Jul 2020
Calibrated neighborhood aware confidence measure for deep metric learning Maryna Karpusha Sunghee Yun István Fehérvári UQCV FedML 27 2 0 08 Jun 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 64 36 0 18 Mar 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation Dmitry Molchanov Alexander Lyzhov Yuliya Molchanova Arsenii Ashukha Dmitry Vetrov TPM 27 84 0 21 Feb 2020
Defective Convolutional Networks Tiange Luo Tianle Cai Mengxiao Zhang Siyu Chen Di He Liwei Wang AAML 30 3 0 19 Nov 2019
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design Mayoore S. Jaiswal Bumboo Kang Jinho Lee Minsik Cho 21 2 0 15 Oct 2019
Using learned optimizers to make models robust to input noise Luke Metz Niru Maheswaranathan Jonathon Shlens Jascha Narain Sohl-Dickstein E. D. Cubuk VLM OOD 23 26 0 08 Jun 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation Raphael Gontijo-Lopes Dong Yin Ben Poole Justin Gilmer E. D. Cubuk AAML 33 204 0 06 Jun 2019
Object Recognition under Multifarious Conditions: A Reliability Analysis and A Feature Similarity-based Performance Estimation Dogancan Temel Jinsol Lee G. Al-Regib 29 12 0 18 Feb 2019
Adversarial Examples Are a Natural Consequence of Test Error in Noise Nic Ford Justin Gilmer Nicholas Carlini E. D. Cubuk AAML 33 318 0 29 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 31 1,453 0 11 Dec 2018
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer Hsueh-Ti Derek Liu Michael Tao Chun-Liang Li Derek Nowrouzezahrai Alec Jacobson AAML 39 13 0 08 Aug 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,113 0 04 Nov 2016