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Generalisation in humans and deep neural networks

Generalisation in humans and deep neural networks

27 August 2018
Robert Geirhos
Carlos R. Medina Temme
Jonas Rauber
Heiko H. Schutt
Matthias Bethge
Felix Wichmann
    OOD
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Papers citing "Generalisation in humans and deep neural networks"

50 / 122 papers shown
Title
On-demand Test-time Adaptation for Edge Devices
On-demand Test-time Adaptation for Edge Devices
Xiao Ma
Young D. Kwon
Dong-Lai Ma
TTA
57
0
0
02 May 2025
Minimum Description Length of a Spectrum Variational Autoencoder: A Theory
Minimum Description Length of a Spectrum Variational Autoencoder: A Theory
Canlin Zhang
Xiuwen Liu
47
0
0
01 Apr 2025
Testing the limits of fine-tuning to improve reasoning in vision language models
Testing the limits of fine-tuning to improve reasoning in vision language models
Luca M. Schulze Buschoff
Konstantinos Voudouris
Elif Akata
Matthias Bethge
Joshua B. Tenenbaum
Eric Schulz
LRM
VLM
Presented at ResearchTrend Connect | VLM on 14 Mar 2025
126
0
1
24 Feb 2025
Bayesian Comparisons Between Representations
Bayesian Comparisons Between Representations
Heiko H. Schütt
FAtt
259
0
0
20 Feb 2025
Dimensions underlying the representational alignment of deep neural networks with humans
Dimensions underlying the representational alignment of deep neural networks with humans
F. Mahner
Lukas Muttenthaler
Umut Güçlü
M. Hebart
48
5
0
28 Jan 2025
Measuring Error Alignment for Decision-Making Systems
Measuring Error Alignment for Decision-Making Systems
Binxia Xu
Antonis Bikakis
Daniel Onah
A. Vlachidis
Luke Dickens
41
0
0
03 Jan 2025
OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations
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
79
0
0
03 Dec 2024
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
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
46
0
0
29 Aug 2024
Confidence-weighted integration of human and machine judgments for superior decision-making
Confidence-weighted integration of human and machine judgments for superior decision-making
Felipe Yánez
Xiaoliang Luo
Omar Valerio Minero
Bradley C. Love
35
2
0
15 Aug 2024
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge
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
63
4
0
16 Jul 2024
Improving robustness to corruptions with multiplicative weight
  perturbations
Improving robustness to corruptions with multiplicative weight perturbations
Trung Trinh
Markus Heinonen
Luigi Acerbi
Samuel Kaski
46
0
0
24 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Tianren Zhang
Chujie Zhao
Guanyu Chen
Yizhou Jiang
Feng Chen
OOD
MLT
OODD
77
3
0
05 Jun 2024
Probing Human Visual Robustness with Neurally-Guided Deep Neural Networks
Probing Human Visual Robustness with Neurally-Guided Deep Neural Networks
Zhenan Shao
Linjian Ma
Yiqing Zhou
Yibo Jacky Zhang
Sanmi Koyejo
Bo Li
Diane M. Beck
AAML
53
3
0
04 May 2024
Trapped in texture bias? A large scale comparison of deep instance
  segmentation
Trapped in texture bias? A large scale comparison of deep instance segmentation
J. Theodoridis
Jessica Hofmann
J. Maucher
A. Schilling
SSeg
34
5
0
17 Jan 2024
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
Yanan Wu
Zhixiang Chi
Yang Wang
Konstantinos N. Plataniotis
Songhe Feng
OOD
21
18
0
15 Dec 2023
k* Distribution: Evaluating the Latent Space of Deep Neural Networks
  using Local Neighborhood Analysis
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis
Shashank Kotyan
Tatsuya Ueda
Danilo Vasconcellos Vargas
32
1
0
07 Dec 2023
Enhancing the machine vision performance with multi-spectral light
  sources
Enhancing the machine vision performance with multi-spectral light sources
Feng Zhang
Rui Bao
Congqi Dai
Wanlu Zhang
Shu Liu
R. Guo
15
0
0
20 Oct 2023
Post-Deployment Adaptation with Access to Source Data via Federated
  Learning and Source-Target Remote Gradient Alignment
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment
Felix Wagner
Zeju Li
Pramit Saha
Konstantinos Kamnitsas
MedIm
10
4
0
31 Aug 2023
Training on Foveated Images Improves Robustness to Adversarial Attacks
Training on Foveated Images Improves Robustness to Adversarial Attacks
Muhammad Ahmed Shah
Bhiksha Raj
AAML
38
4
0
01 Aug 2023
Improving neural network representations using human similarity
  judgments
Improving neural network representations using human similarity judgments
Lukas Muttenthaler
Lorenz Linhardt
Jonas Dippel
Robert A. Vandermeulen
Katherine L. Hermann
Andrew Kyle Lampinen
Simon Kornblith
50
31
0
07 Jun 2023
Performance-optimized deep neural networks are evolving into worse
  models of inferotemporal visual cortex
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex
Drew Linsley
I. F. Rodriguez
Thomas Fel
Michael Arcaro
Saloni Sharma
Margaret Livingstone
Thomas Serre
35
19
0
06 Jun 2023
Benchmarking Robustness of Adaptation Methods on Pre-trained
  Vision-Language Models
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models
Shuo Chen
Jindong Gu
Zhen Han
Yunpu Ma
Philip Torr
Volker Tresp
VPVLM
VLM
45
17
0
03 Jun 2023
Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity
Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity
Camila Kolling
Till Speicher
Vedant Nanda
Mariya Toneva
Krishna P. Gummadi
30
1
0
30 May 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual
  Perception?
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?
Felix Wichmann
Robert Geirhos
34
25
0
26 May 2023
ColMix -- A Simple Data Augmentation Framework to Improve Object
  Detector Performance and Robustness in Aerial Images
ColMix -- A Simple Data Augmentation Framework to Improve Object Detector Performance and Robustness in Aerial Images
Cuong Ly
Grayson Jorgenson
D. R. D. Jesus
Henry Kvinge
A. Attarian
Y. Watkins
19
1
0
22 May 2023
Exploiting Frequency Spectrum of Adversarial Images for General
  Robustness
Exploiting Frequency Spectrum of Adversarial Images for General Robustness
Chun Yang Tan
K. Kawamoto
Hiroshi Kera
AAML
OOD
34
1
0
15 May 2023
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using
  Corrupted Multimodal Data
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data
Arthur Josi
Mahdi Alehdaghi
Rafael M. O. Cruz
Eric Granger
24
2
0
29 Apr 2023
Meta-Auxiliary Learning for Adaptive Human Pose Prediction
Meta-Auxiliary Learning for Adaptive Human Pose Prediction
Qiongjie Cui
Huaijiang Sun
Jianfeng Lu
Bin Li
Weiqing Li
3DH
OOD
39
5
0
13 Apr 2023
An Extended Study of Human-like Behavior under Adversarial Training
An Extended Study of Human-like Behavior under Adversarial Training
Paul Gavrikov
J. Keuper
M. Keuper
AAML
34
9
0
22 Mar 2023
A model is worth tens of thousands of examples
A model is worth tens of thousands of examples
Thomas Dagès
Laurent D. Cohen
A. Bruckstein
8
2
0
19 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Aengus Lynch
G. Dovonon
Jean Kaddour
Ricardo M. A. Silva
205
30
0
09 Mar 2023
Fine-Grained ImageNet Classification in the Wild
Fine-Grained ImageNet Classification in the Wild
Maria Lymperaiou
Konstantinos Thomas
Giorgos Stamou
VLM
36
1
0
04 Mar 2023
Revisiting Variable Ordering for Real Quantifier Elimination using
  Machine Learning
Revisiting Variable Ordering for Real Quantifier Elimination using Machine Learning
John Hester
Briland Hitaj
Grant Passmore
S. Owre
N. Shankar
Eric Yeh
22
1
0
27 Feb 2023
Spatial Bias for Attention-free Non-local Neural Networks
Spatial Bias for Attention-free Non-local Neural Networks
Junhyung Go
Jongbin Ryu
SSL
27
10
0
24 Feb 2023
Stochastic Surprisal: An inferential measurement of Free Energy in
  Neural Networks
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks
Mohit Prabhushankar
Ghassan Al-Regib
23
3
0
11 Feb 2023
Benchmarking Robustness to Adversarial Image Obfuscations
Benchmarking Robustness to Adversarial Image Obfuscations
Florian Stimberg
Ayan Chakrabarti
Chun-Ta Lu
Hussein Hazimeh
Otilia Stretcu
...
Merve Kaya
Cyrus Rashtchian
Ariel Fuxman
Mehmet Tek
Sven Gowal
AAML
37
10
0
30 Jan 2023
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object
  Classification
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification
Ali Borji
VLM
37
0
0
29 Jan 2023
Language Cognition and Language Computation -- Human and Machine
  Language Understanding
Language Cognition and Language Computation -- Human and Machine Language Understanding
Shaonan Wang
Nai Ding
Nan Lin
Jiajun Zhang
Chengqing Zong
30
2
0
12 Jan 2023
Deep Learning Architectures for FSCV, a Comparison
Deep Learning Architectures for FSCV, a Comparison
Thomas Twomey
Leonardo S. Barbosa
T. Lohrenz
P. R. Montague
21
1
0
05 Dec 2022
Perceptual Video Coding for Machines via Satisfied Machine Ratio
  Modeling
Perceptual Video Coding for Machines via Satisfied Machine Ratio Modeling
Qi Zhang
Shanshe Wang
Xinfeng Zhang
Chuanmin Jia
Jingshan Pan
Siwei Ma
Wen Gao
29
3
0
13 Nov 2022
Benchmarking performance of object detection under image distortions in
  an uncontrolled environment
Benchmarking performance of object detection under image distortions in an uncontrolled environment
Ayman Beghdadi
Malik Mallem
Lotfi Beji
36
5
0
28 Oct 2022
Robust Self-Supervised Learning with Lie Groups
Robust Self-Supervised Learning with Lie Groups
Mark Ibrahim
Diane Bouchacourt
Ari S. Morcos
SSL
OOD
42
6
0
24 Oct 2022
Functional Indirection Neural Estimator for Better Out-of-distribution
  Generalization
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
K. Pham
Hung Le
Man Ngo
T. Tran
OODD
33
1
0
23 Oct 2022
Similarity of Neural Architectures using Adversarial Attack
  Transferability
Similarity of Neural Architectures using Adversarial Attack Transferability
Jaehui Hwang
Dongyoon Han
Byeongho Heo
Song Park
Sanghyuk Chun
Jong-Seok Lee
AAML
37
1
0
20 Oct 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial
  Viewpoints
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints
Yinpeng Dong
Shouwei Ruan
Hang Su
Cai Kang
Xingxing Wei
Junyi Zhu
AAML
32
49
0
08 Oct 2022
Fairness and robustness in anti-causal prediction
Fairness and robustness in anti-causal prediction
Maggie Makar
Alexander DÁmour
OOD
36
10
0
20 Sep 2022
Test-Time Training with Masked Autoencoders
Test-Time Training with Masked Autoencoders
Yossi Gandelsman
Yu Sun
Xinlei Chen
Alexei A. Efros
OOD
45
165
0
15 Sep 2022
Guiding Machine Perception with Psychophysics
Guiding Machine Perception with Psychophysics
Justin Dulay
Sonia Poltoratski
Till S. Hartmann
Samuel E. Anthony
Walter J. Scheirer
37
3
0
05 Jul 2022
Guiding Visual Attention in Deep Convolutional Neural Networks Based on
  Human Eye Movements
Guiding Visual Attention in Deep Convolutional Neural Networks Based on Human Eye Movements
Leonard E. van Dyck
Sebastian J. Denzler
W. Gruber
22
9
0
21 Jun 2022
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition
  by humans and dynamic neural networks
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks
Ajay Subramanian
Sara A. Price
Omkar Kumbhar
E. Sizikova
N. Majaj
D. Pelli
30
1
0
16 Jun 2022
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