Generalisation in humans and deep neural networks

27 August 2018

Robert Geirhos

Carlos R. Medina Temme

Papers citing "Generalisation in humans and deep neural networks"

23 / 123 papers shown

Title
PanNuke Dataset Extension, Insights and Baselines Jevgenij Gamper Navid Alemi Koohbanani Ksenija Benes S. Graham Mostafa Jahanifar S. Khurram A. Azam K. Hewitt Nasir M. Rajpoot 124 176 0 24 Mar 2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods Sanghyuk Chun Seong Joon Oh Sangdoo Yun Dongyoon Han Junsuk Choe Y. Yoo AAML OOD 345 53 0 09 Mar 2020
Utilizing Network Properties to Detect Erroneous Inputs Matt Gorbett Nathaniel Blanchard AAML 23 6 0 28 Feb 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future Grace W. Lindsay MedIm 37 424 0 20 Jan 2020
A simple way to make neural networks robust against diverse image corruptions E. Rusak Lukas Schott Roland S. Zimmermann Julian Bitterwolf Oliver Bringmann Matthias Bethge Wieland Brendel 21 64 0 16 Jan 2020
Angular Visual Hardness Beidi Chen Weiyang Liu Zhiding Yu Jan Kautz Anshumali Shrivastava Animesh Garg Anima Anandkumar AAML 43 51 0 04 Dec 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 21 104 0 13 Nov 2019
Location Attention for Extrapolation to Longer Sequences Yann Dubois Gautier Dagan Dieuwke Hupkes Elia Bruni 23 41 0 10 Nov 2019
Reducing Domain Gap by Reducing Style Bias Hyeonseob Nam HyunJae Lee Jongchan Park Wonjun Yoon Donggeun Yoo 28 61 0 25 Oct 2019
Predicting with High Correlation Features Devansh Arpit Caiming Xiong R. Socher OODD OOD 22 7 0 01 Oct 2019
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts Yu Sun Xiaolong Wang Zhuang Liu John Miller Alexei A. Efros Moritz Hardt TTA OOD 27 92 0 29 Sep 2019
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming Claudio Michaelis Benjamin Mitzkus Robert Geirhos E. Rusak Oliver Bringmann Alexander S. Ecker Matthias Bethge Wieland Brendel 3DPC 30 437 0 17 Jul 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 106 1,428 0 16 Jul 2019
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness Fanny Yang Zuowen Wang C. Heinze-Deml 28 42 0 26 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
Do Image Classifiers Generalize Across Time? Vaishaal Shankar Achal Dave Rebecca Roelofs Deva Ramanan Benjamin Recht Ludwig Schmidt 20 82 0 05 Jun 2019
Orthogonal Deep Neural Networks Kui Jia Shuai Li Yuxin Wen Tongliang Liu Dacheng Tao 41 132 0 15 May 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 40 1,665 0 13 Feb 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 34 721 0 28 Jan 2019
Analyzing biological and artificial neural networks: challenges with opportunities for synergy? David Barrett Ari S. Morcos Jakob H. Macke AI4CE 27 110 0 31 Oct 2018
A Neurobiological Evaluation Metric for Neural Network Model Search Nathaniel Blanchard Jeffery Kinnison Brandon RichardWebster P. Bashivan Walter J. Scheirer 39 12 0 28 May 2018
Comparing deep neural networks against humans: object recognition when the signal gets weaker Robert Geirhos David H. J. Janssen Heiko H. Schutt Jonas Rauber Matthias Bethge Felix Wichmann 30 242 0 21 Jun 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015