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

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

16 / 16 papers shown

Title
Representational Similarity via Interpretable Visual Concepts Neehar Kondapaneni Oisin Mac Aodha Pietro Perona DRL 156 0 0 19 Mar 2025
Dimensions underlying the representational alignment of deep neural networks with humans F. Mahner Lukas Muttenthaler Umut Güçlü M. Hebart 43 4 0 28 Jan 2025
Graphical Perception of Saliency-based Model Explanations Yayan Zhao Mingwei Li Matthew Berger XAI FAtt 41 2 0 11 Jun 2024
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 Shizhan Gong Qi Dou Farzan Farnia FAtt 40 2 0 06 Apr 2024
Neither hype nor gloom do DNNs justice Gaurav Malhotra Christian Tsvetkov B. D. Evans 21 118 0 08 Dec 2023
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
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 Ilia Sucholutsky Thomas L. Griffiths 19 25 0 27 Jan 2023
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 Thomas A. Langlois H. C. Zhao Erin Grant Ishita Dasgupta Thomas L. Griffiths Nori Jacoby 42 15 0 14 Jul 2021
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 Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 228 4,460 0 23 Jan 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 206 14,357 0 07 Oct 2016
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 39,194 0 01 Sep 2014