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"

38 / 38 papers shown

Title
Minimum Description Length of a Spectrum Variational Autoencoder: A Theory Canlin Zhang Xiuwen Liu 74 0 0 01 Apr 2025
Dimensions underlying the representational alignment of deep neural networks with humans F. Mahner Lukas Muttenthaler Umut Güçlü M. Hebart 97 5 0 28 Jan 2025
Measuring Error Alignment for Decision-Making Systems Binxia Xu Antonis Bikakis Daniel Onah A. Vlachidis Luke Dickens 54 0 0 03 Jan 2025
OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations Caixin Kang Yubo Chen Shouwei Ruan Shiji Zhao Ruochen Zhang Jiayi Wang Shan Fu Xingxing Wei CVBM 111 0 0 03 Dec 2024
Bayesian Comparisons Between Representations Heiko H. Schütt FAtt 383 0 0 13 Nov 2024
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification Yu Liang Shilei Cao Juepeng Zheng Jianxi Huang Haohuan Fu Haohuan Fu TTA 73 1 0 29 Aug 2024
Confidence-weighted integration of human and machine judgments for superior decision-making Felipe Yánez Xiaoliang Luo Omar Valerio Minero Bradley C. Love 71 2 0 15 Aug 2024
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge Hao Ding Tuxun Lu Yuqian Zhang Ruixing Liang Hongchao Shu ... Bo Wang Marcos Fernández-Rodríguez Estevao Lima João L. Vilaça Mathias Unberath 115 4 0 16 Jul 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize Tianren Zhang Chujie Zhao Guanyu Chen Yizhou Jiang Feng Chen OOD MLT OODD 134 4 0 05 Jun 2024
Benchmarking the Robustness of Instance Segmentation Models Said Fahri Altindis Yusuf Dalva Hamza Pehlivan Aysegül Dündar VLM OOD 84 12 0 02 Sep 2021
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 72 2,647 0 29 Nov 2018
Totally Looks Like - How Humans Compare, Compared to Machines Amir Rosenfeld M. Solbach John K. Tsotsos 3DH 46 28 0 05 Mar 2018
Generalization in Deep Learning Kenji Kawaguchi L. Kaelbling Yoshua Bengio ODL 59 459 0 16 Oct 2017
Can the early human visual system compete with Deep Neural Networks? Samuel F. Dodge Lina Karam 15 16 0 12 Oct 2017
Eigen-Distortions of Hierarchical Representations Alexander Berardino Johannes Ballé Valero Laparra Eero P. Simoncelli 51 69 0 06 Oct 2017
Exploring Generalization in Deep Learning Behnam Neyshabur Srinadh Bhojanapalli David A. McAllester Nathan Srebro FAtt 125 1,245 0 27 Jun 2017
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 43 243 0 21 Jun 2017
A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions Samuel F. Dodge Lina Karam 3DH 35 421 0 06 May 2017
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 61 1,399 0 02 Mar 2017
Human perception in computer vision Ron Dekel OOD 31 9 0 17 Jan 2017
On Classification of Distorted Images with Deep Convolutional Neural Networks Yiren Zhou Sibo Song Ngai-Man Cheung 35 115 0 08 Jan 2017
Examining the Impact of Blur on Recognition by Convolutional Networks Igor Vasiljevic Ayan Chakrabarti Gregory Shakhnarovich 38 197 0 17 Nov 2016
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes Mengye Ren Renjie Liao R. Urtasun Fabian H. Sinz R. Zemel 46 81 0 14 Nov 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 241 4,612 0 10 Nov 2016
DeepGaze II: Reading fixations from deep features trained on object recognition Matthias Kümmerer Thomas S. A. Wallis Matthias Bethge 42 288 0 05 Oct 2016
Understanding How Image Quality Affects Deep Neural Networks Samuel F. Dodge Lina Karam VLM 45 725 0 14 Apr 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 158 11,135 0 14 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.1K 192,638 0 10 Dec 2015
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition Saeed Reza Kheradpisheh M. Ghodrati M. Ganjtabesh T. Masquelier 44 176 0 17 Aug 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 425 9,233 0 06 Jun 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 112 18,534 0 06 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 248 43,511 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 719 99,991 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 909 39,383 0 01 Sep 2014
scikit-image: Image processing in Python Stéfan van der Walt Johannes L. Schonberger Juan Nunez-Iglesias François Boulogne Joshua D. Warner Neil Yager Emmanuelle Gouillart Tony Yu the scikit-image contributors SSeg GP VLM 92 4,351 0 23 Jul 2014
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition C. Cadieu Ha Hong Daniel L. K. Yamins Nicolas Pinto Diego Ardila E. Solomon N. Majaj J. DiCarlo 42 784 0 12 Jun 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 168 43,290 0 01 May 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 123 4,946 0 06 Oct 2013