Analyzing Populations of Neural Networks via Dynamical Model Embedding

Analyzing Populations of Neural Networks via Dynamical Model Embedding

27 February 2023

Jordan S. Cotler

Felipe Hernández

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Papers citing "Analyzing Populations of Neural Networks via Dynamical Model Embedding"

12 / 12 papers shown

Title
Meta-Dynamical State Space Models for Integrative Neural Data Analysis Ayesha Vermani Josue Nassar Hyungju Jeon Matthew Dowling Il Memming Park 130 1 0 07 Oct 2024
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 258 3,502 0 30 Sep 2019
Universality and individuality in neural dynamics across large populations of recurrent networks Niru Maheswaranathan Alex H. Williams Matthew D. Golub Surya Ganguli David Sussillo 69 145 0 19 Jul 2019
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics Niru Maheswaranathan Alex H. Williams Matthew D. Golub Surya Ganguli David Sussillo 69 82 0 25 Jun 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 143 1,431 0 01 May 2019
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 148 1,372 0 16 Jul 2018
Optimizing the Latent Space of Generative Networks Piotr Bojanowski Armand Joulin David Lopez-Paz Arthur Szlam GAN 75 418 0 18 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 829 11,943 0 09 Mar 2017
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 319 3,898 0 19 Dec 2014
Understanding image representations by measuring their equivariance and equivalence Karel Lenc Andrea Vedaldi SSL FAtt 114 537 0 21 Nov 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 314 7,317 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,904 0 12 Nov 2013