Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough

29 October 2020

Papers citing "Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough"

5 / 5 papers shown

Title
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting Mao Ye Gregory P. Meyer Yuning Chai Qiang Liu 32 8 0 09 Mar 2023
Data-Efficient Structured Pruning via Submodular Optimization Marwa El Halabi Suraj Srinivas Simon Lacoste-Julien 20 18 0 09 Mar 2022
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks Shuai Zhang Meng Wang Sijia Liu Pin-Yu Chen Jinjun Xiong UQCV MLT 31 13 0 12 Oct 2021
Lottery Jackpots Exist in Pre-trained Models Yuxin Zhang Mingbao Lin Yan Wang Rongrong Ji Rongrong Ji 30 15 0 18 Apr 2021
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,748 0 26 Sep 2016