Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability

31 May 2023

Papers citing "Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability"

15 / 15 papers shown

Title
Discovering Evolution Strategies via Meta-Black-Box Optimization R. T. Lange Tom Schaul Yutian Chen Tom Zahavy Valenti Dallibard Chris Xiaoxuan Lu Satinder Singh Sebastian Flennerhag 91 48 0 21 Nov 2022
Towards Understanding Iterative Magnitude Pruning: Why Lottery Tickets Win Jaron Maene Mingxiao Li Marie-Francine Moens 53 15 0 13 Jun 2021
Characterising Bias in Compressed Models Sara Hooker Nyalleng Moorosi Gregory Clark Samy Bengio Emily L. Denton 70 185 0 06 Oct 2020
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 156 15,026 0 18 Jun 2020
Linear Mode Connectivity and the Lottery Ticket Hypothesis Jonathan Frankle Gintare Karolina Dziugaite Daniel M. Roy Michael Carbin MoMe 163 628 0 11 Dec 2019
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers Ari S. Morcos Haonan Yu Michela Paganini Yuandong Tian 75 229 0 06 Jun 2019
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP Haonan Yu Sergey Edunov Yuandong Tian Ari S. Morcos 52 150 0 06 Jun 2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask Hattie Zhou Janice Lan Rosanne Liu J. Yosinski UQCV 65 389 0 03 May 2019
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 269 3,488 0 09 Mar 2018
Visualizing the Loss Landscape of Neural Nets Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein 264 1,901 0 28 Dec 2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 111 693 0 18 Dec 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 544 19,296 0 20 Jul 2017
Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science Decebal Constantin Mocanu Elena Mocanu Peter Stone Phuong H. Nguyen M. Gibescu A. Liotta 178 634 0 15 Jul 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 115 1,544 0 10 Mar 2017
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 316 6,709 0 08 Jun 2015