Clustering units in neural networks: upstream vs downstream information

22 March 2022

Papers citing "Clustering units in neural networks: upstream vs downstream information"

19 / 19 papers shown

Title
Modular Training of Neural Networks aids Interpretability Satvik Golechha Maheep Chaudhary Joan Velja Alessandro Abate Nandi Schoots 139 0 0 04 Feb 2025
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 139 73 0 10 May 2023
Clusterability in Neural Networks Daniel Filan Stephen Casper Shlomi Hod Cody Wild Andrew Critch Stuart J. Russell GNN 60 31 0 04 Mar 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 123 322 0 22 Feb 2021
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás Sjoerd van Steenkiste Jürgen Schmidhuber 91 95 0 05 Oct 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 520 42,559 0 03 Dec 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste Francesco Locatello Jürgen Schmidhuber Olivier Bachem 79 210 0 29 May 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 141 1,429 0 01 May 2019
A Review of Modularization Techniques in Artificial Neural Networks Mohammed Amer Tomás Maul 64 80 0 29 Apr 2019
Measuring Compositionality in Representation Learning Jacob Andreas CoGe 69 149 0 19 Feb 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 124 1,471 0 29 Nov 2018
Interpreting Layered Neural Networks via Hierarchical Modular Representation C. Watanabe 60 19 0 03 Oct 2018
Understanding Community Structure in Layered Neural Networks C. Watanabe Kaoru Hiramatsu K. Kashino 128 22 0 13 Apr 2018
Learning Deep Disentangled Embeddings with the F-Statistic Loss Karl Ridgeway Michael C. Mozer FedML DRL CoGe 64 218 0 14 Feb 2018
Element-centric clustering comparison unifies overlaps and hierarchy Alexander J. Gates Ian B. Wood W. Hetrick Yong-Yeol Ahn 46 90 0 19 Jun 2017
Modular Representation of Layered Neural Networks C. Watanabe Kaoru Hiramatsu K. Kashino AI4TS 64 56 0 01 Mar 2017
The evolutionary origins of modularity Jeff Clune Jean-Baptiste Mouret Hod Lipson 79 582 0 11 Jul 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 269 12,456 0 24 Jun 2012
Algorithms for Learning Kernels Based on Centered Alignment Corinna Cortes M. Mohri Afshin Rostamizadeh 73 547 0 02 Mar 2012