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Lottery Pools: Winning More by Interpolating Tickets without Increasing
  Training or Inference Cost

Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost

23 August 2022
Lu Yin
Shiwei Liu
Fang Meng
Tianjin Huang
Vlado Menkovski
Mykola Pechenizkiy
ArXivPDFHTML

Papers citing "Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost"

10 / 10 papers shown
Title
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
Yu-xin Zhang
Lirui Zhao
Mingbao Lin
Yunyun Sun
Yiwu Yao
Xingjia Han
Jared Tanner
Shiwei Liu
Rongrong Ji
SyDa
37
40
0
13 Oct 2023
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude
  Pruning
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
Moonseok Choi
Hyungi Lee
G. Nam
Juho Lee
32
2
0
24 May 2023
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Shiwei Liu
Tianlong Chen
Zhenyu (Allen) Zhang
Xuxi Chen
Tianjin Huang
Ajay Jaiswal
Zhangyang Wang
32
29
0
03 Mar 2023
Domain-Generalizable Multiple-Domain Clustering
Domain-Generalizable Multiple-Domain Clustering
Amit Rozner
Barak Battash
Lior Wolf
Ofir Lindenbaum
SSL
OOD
29
7
0
31 Jan 2023
Superposing Many Tickets into One: A Performance Booster for Sparse
  Neural Network Training
Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training
Lu Yin
Vlado Menkovski
Meng Fang
Tianjin Huang
Yulong Pei
Mykola Pechenizkiy
D. Mocanu
Shiwei Liu
29
8
0
30 May 2022
Diverse Weight Averaging for Out-of-Distribution Generalization
Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Ramé
Matthieu Kirchmeyer
Thibaud Rahier
A. Rakotomamonjy
Patrick Gallinari
Matthieu Cord
OOD
199
128
0
19 May 2022
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
244
644
0
21 Apr 2021
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Zhangyang Wang
Michael Carbin
156
345
0
23 Jul 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
224
383
0
05 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
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