Training and Generating Neural Networks in Compressed Weight Space

31 December 2021

Papers citing "Training and Generating Neural Networks in Compressed Weight Space"

10 / 10 papers shown

Title
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos Apoorv Vyas Nikolaos Pappas Franccois Fleuret 178 1,755 0 29 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 123 2,548 0 17 Jun 2020
Parameter-Based Value Functions Francesco Faccio Louis Kirsch Jürgen Schmidhuber OffRL 50 25 0 16 Jun 2020
Policy Evaluation Networks J. Harb Tom Schaul Doina Precup Pierre-Luc Bacon OffRL 37 37 0 26 Feb 2020
Predicting Neural Network Accuracy from Weights Thomas Unterthiner Daniel Keysers Sylvain Gelly Olivier Bousquet Ilya O. Tolstikhin 55 105 0 26 Feb 2020
An Analysis of Neural Language Modeling at Multiple Scales Stephen Merity N. Keskar R. Socher 50 170 0 22 Mar 2018
Using Fast Weights to Attend to the Recent Past Jimmy Ba Geoffrey E. Hinton Volodymyr Mnih Joel Z Leibo Catalin Ionescu 61 271 0 20 Oct 2016
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 130 1,628 0 27 Sep 2016
Surprisal-Driven Feedback in Recurrent Networks K. Rocki 44 13 0 22 Aug 2016
A Frequency-Domain Encoding for Neuroevolution Jan Koutník Jürgen Schmidhuber Faustino J. Gomez 57 3 0 28 Dec 2012