A Rainbow in Deep Network Black Boxes

A Rainbow in Deep Network Black Boxes

29 May 2023

Papers citing "A Rainbow in Deep Network Black Boxes"

12 / 12 papers shown

Title
On the universality of neural encodings in CNNs Florentin Guth Brice Ménard SSL 41 5 0 28 Sep 2024
A spring-block theory of feature learning in deep neural networks Chengzhi Shi Liming Pan Ivan Dokmanić AI4CE 36 1 0 28 Jul 2024
Latent Functional Maps Marco Fumero Marco Pegoraro Valentino Maiorca Francesco Locatello Emanuele Rodolà 27 1 0 20 Jun 2024
Hamiltonian Mechanics of Feature Learning: Bottleneck Structure in Leaky ResNets Arthur Jacot Alexandre Kaiser 31 0 0 27 May 2024
Asymptotics of Learning with Deep Structured (Random) Features Dominik Schröder Daniil Dmitriev Hugo Cui Bruno Loureiro 40 6 0 21 Feb 2024
How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model Francesco Cagnetta Leonardo Petrini Umberto M. Tomasini Alessandro Favero M. Wyart BDL 27 22 0 05 Jul 2023
Understanding the Covariance Structure of Convolutional Filters Asher Trockman Devin Willmott J. Zico Kolter 44 11 0 07 Oct 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 239 312 0 11 Sep 2022
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 226 4,424 0 23 Jan 2020
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach Grant M. Rotskoff Eric Vanden-Eijnden 59 118 0 02 May 2018
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 201 14,304 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 282 39,170 0 01 Sep 2014