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Harmonizing the object recognition strategies of deep neural networks
  with humans

Harmonizing the object recognition strategies of deep neural networks with humans

8 November 2022
Thomas Fel
Ivan Felipe
Drew Linsley
Thomas Serre
ArXivPDFHTML

Papers citing "Harmonizing the object recognition strategies of deep neural networks with humans"

18 / 18 papers shown
Title
Representational Similarity via Interpretable Visual Concepts
Representational Similarity via Interpretable Visual Concepts
Neehar Kondapaneni
Oisin Mac Aodha
Pietro Perona
DRL
166
0
0
19 Mar 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
4
0
28 Jan 2025
Graphical Perception of Saliency-based Model Explanations
Graphical Perception of Saliency-based Model Explanations
Yayan Zhao
Mingwei Li
Matthew Berger
XAI
FAtt
49
2
0
11 Jun 2024
The 3D-PC: a benchmark for visual perspective taking in humans and machines
The 3D-PC: a benchmark for visual perspective taking in humans and machines
Drew Linsley
Peisen Zhou
A. Ashok
Akash Nagaraj
Gaurav Gaonkar
Francis E Lewis
Zygmunt Pizlo
Thomas Serre
48
6
0
06 Jun 2024
Structured Gradient-based Interpretations via Norm-Regularized
  Adversarial Training
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
Shizhan Gong
Qi Dou
Farzan Farnia
FAtt
42
2
0
06 Apr 2024
Neither hype nor gloom do DNNs justice
Neither hype nor gloom do DNNs justice
Gaurav Malhotra
Christian Tsvetkov
B. D. Evans
24
117
0
08 Dec 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
18
0
06 Jun 2023
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
Siddarth Asokan
C. Seelamantula
GAN
69
1
0
12 May 2023
Self-attention in Vision Transformers Performs Perceptual Grouping, Not
  Attention
Self-attention in Vision Transformers Performs Perceptual Grouping, Not Attention
Paria Mehrani
John K. Tsotsos
25
24
0
02 Mar 2023
Alignment with human representations supports robust few-shot learning
Alignment with human representations supports robust few-shot learning
Ilia Sucholutsky
Thomas L. Griffiths
24
25
0
27 Jan 2023
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Mazda Moayeri
Wenxiao Wang
Sahil Singla
S. Feizi
69
14
0
05 Dec 2022
Look at the Variance! Efficient Black-box Explanations with Sobol-based
  Sensitivity Analysis
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
Thomas Fel
Rémi Cadène
Mathieu Chalvidal
Matthieu Cord
David Vigouroux
Thomas Serre
MLAU
FAtt
AAML
114
58
0
07 Nov 2021
Passive Attention in Artificial Neural Networks Predicts Human Visual
  Selectivity
Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity
Thomas A. Langlois
H. C. Zhao
Erin Grant
Ishita Dasgupta
Thomas L. Griffiths
Nori Jacoby
47
15
0
14 Jul 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
271
2,603
0
04 May 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
255
4,489
0
23 Jan 2020
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
206
14,368
0
07 Oct 2016
ImageNet Large Scale Visual Recognition Challenge
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
296
39,198
0
01 Sep 2014
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