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Bayesian Comparisons Between Representations

13 November 2024

Papers citing "Bayesian Comparisons Between Representations"

23 / 23 papers shown

Title
What Representational Similarity Measures Imply about Decodable Information Sarah E. Harvey David Lipshutz Alex H. Williams 83 4 0 12 Nov 2024
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations Sarah E. Harvey Brett W. Larsen Alex H. Williams 147 13 0 19 Nov 2023
The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes A. T. Gifford B. Lahner Sari Saba-Sadiya M. G. Vilas A. Lascelles A. Oliva K. Kay Gemma Roig Radoslaw Martin Cichy AI4CE 105 36 0 09 Jan 2023
Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments Tal Golan Wenxuan Guo Heiko H. Schutt N. Kriegeskorte CVBM 72 5 0 28 Nov 2022
GULP: a prediction-based metric between representations Enric Boix Adserà Hannah Lawrence George Stepaniants Philippe Rigollet 80 11 0 12 Oct 2022
Generalized Shape Metrics on Neural Representations Alex H. Williams Erin M Kunz Simon Kornblith Scott W. Linderman MedIm 65 105 0 27 Oct 2021
Do Vision Transformers See Like Convolutional Neural Networks? M. Raghu Thomas Unterthiner Simon Kornblith Chiyuan Zhang Alexey Dosovitskiy ViT 143 967 0 19 Aug 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 723 41,796 0 22 Oct 2020
What is being transferred in transfer learning? Behnam Neyshabur Hanie Sedghi Chiyuan Zhang 141 530 0 26 Aug 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 659 10,591 0 17 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 626 42,770 0 03 Dec 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 319 648 0 19 Sep 2019
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence Radoslaw Martin Cichy Gemma Roig A. Andonian Kshitij Dwivedi B. Lahner A. Lascelles Y. Mohsenzadeh K. Ramakrishnan A. Oliva 76 44 0 14 May 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 165 1,439 0 01 May 2019
Generalisation in humans and deep neural networks Robert Geirhos Carlos R. Medina Temme Jonas Rauber Heiko H. Schutt Matthias Bethge Felix Wichmann OOD 109 612 0 27 Aug 2018
Learning Deep Representations with Probabilistic Knowledge Transfer Nikolaos Passalis Anastasios Tefas 74 414 0 28 Mar 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 107 244 0 21 Jun 2017
Understanding intermediate layers using linear classifier probes Guillaume Alain Yoshua Bengio FAtt 177 957 0 05 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.4K 195,011 0 10 Dec 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 133 847 0 10 Feb 2015
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 1.7K 39,705 0 01 Sep 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 468 43,961 0 01 May 2014
One weird trick for parallelizing convolutional neural networks A. Krizhevsky GNN 125 1,303 0 23 Apr 2014