lottery-ticket-hypothesis

There are 51 repositories under lottery-ticket-hypothesis topic.

  • rahulvigneswaran/Lottery-Ticket-Hypothesis-in-Pytorch

    This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

    Language:Python32571691
  • MinghuiChen43/awesome-deep-phenomena

    A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

  • VITA-Group/BERT-Tickets

    [NeurIPS 2020] "The Lottery Ticket Hypothesis for Pre-trained BERT Networks", Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin

    Language:Python13812819
  • alecwangcq/GraSP

    Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH

    Language:Python1012614
  • VITA-Group/Ultra-Data-Efficient-GAN-Training

    [NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang

    Language:Python841619
  • VITA-Group/CV_LTH_Pre-training

    [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang

    Language:Python6815114
  • VITA-Group/Unified-LTH-GNN

    [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhangyang Wang

    Language:Python6311715
  • varungohil/Generalizing-Lottery-Tickets

    This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"

    Language:Jupyter Notebook51569
  • VITA-Group/Sparsity-Win-Robust-Generalization

    [ICLR 2022] "Sparsity Winning Twice: Better Robust Generalization from More Efficient Training" by Tianlong Chen*, Zhenyu Zhang*, Pengjun Wang*, Santosh Balachandra*, Haoyu Ma*, Zehao Wang, Zhangyang Wang

    Language:Python37722
  • arjun-majumdar/Lottery_Ticket_Hypothesis-TensorFlow_2

    Implementing "The Lottery Ticket Hypothesis" paper by "Jonathan Frankle, Michael Carbin"

    Language:Jupyter Notebook34603
  • VITA-Group/Structure-LTH

    [ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang.

    Language:Cuda31826
  • VITA-Group/Audio-Lottery

    [ICLR 2022] "Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable", by Shaojin Ding, Tianlong Chen, Zhangyang Wang

    Language:Python301135
  • gfrogat/prunhild

    A small library implementing magnitude-based pruning in PyTorch

    Language:Python28205
  • VITA-Group/GAN-LTH

    [ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

    Language:Python271007
  • VITA-Group/Backdoor-LTH

    [CVPR 2022] "Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free" by Tianlong Chen*, Zhenyu Zhang*, Yihua Zhang*, Shiyu Chang, Sijia Liu, and Zhangyang Wang

    Language:Python25902
  • VITA-Group/Lifelong-Learning-LTH

    [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chang, Zhangyang Wang

    Language:Python231014
  • GATECH-EIC/SuperTickets

    [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning

    Language:Python19200
  • cliang1453/super-structured-lottery-tickets

    Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization (ACL 2021)

    Language:Python17211
  • nelaturuharsha/TurboPrune

    Harness for training/finding lottery tickets in PyTorch. With support for multiple pruning techniques and augmented by distributed training, FFCV and AMP.

    Language:Python161
  • llyx97/TAMT

    [NAACL 2022] "Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training", Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weipinng Wang, Jie Zhou

    Language:Python15201
  • GATECH-EIC/Robust-Scratch-Ticket

    [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David Cox, Yingyan Lin

    Language:Python13110
  • ordinary-neural-circuits

    raminmh/ordinary-neural-circuits

    Code repo for paper: ICML 2020 paper Natural lottery ticket winner: RL for ordinary neural circuits

    Language:Python13414
  • mcognetta/LotteryTickets.jl

    Sparsify Your Flux Models

    Language:Julia11200
  • VITA-Group/LTH-Pass

    [TMLR] "Can You Win Everything with Lottery Ticket?" by Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang

    Language:Python10702
  • mahkons/Lottery-ticket-hypothesis

    This repository contains a Pytorch implementation of the article "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" and an application of this hypothesis to reinforcement learning

    Language:Python9200
  • VITA-Group/Double-Win-LTH

    [ICML 2022] "Data-Efficient Double-Win Lottery Tickets from Robust Pre-training" by Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang

    Language:Python9900
  • VITA-Group/NO-stealing-LTH

    [NeurIPS'21] "You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership" by Xuxi Chen*, Tianlong Chen*, Zhenyu Zhang, Zhangyang Wang

    Language:Python9811
  • negar-foroutan/multiLMs-lang-neutral-subnets

    [EMNLP 2022] Discovering Language-neutral Sub-networks in Multilingual Language Models.

    Language:Python8131
  • landskape-ai/Reprogram_LT

    [arXiv] "Uncovering the Hidden Cost of Model Compression" by Diganta Misra, Agam Goyal, Bharat Runwal, and Pin-Yu Chen

    Language:Python7103
  • Krishnkant-Swarnkar/Pytorch-pruning

    Implementation of various neural network pruing methods in pytorch.

    Language:Jupyter Notebook4300
  • CISiPLab/cisip-CoCa

    Compact Image Captioning (CoCA) is an open source image captioning project to promote Green Computer Vision, as well as to make image captioning research accessible to universities, research labs and individual practitioners with limited financial resources.

    Language:Python3202
  • KittenCN/predict_Lottery_ticket_fork_edit

    基于tensorflow lstm模型的彩票预测

    Language:Python3000
  • lecode-official/pytorch-lottery-ticket-hypothesis

    A PyTorch implementation of the Lottery Ticket algorithm introduced by Frankle et al. in "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" and enhanced by Zhou et al. in "Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask".

    Language:Python3190
  • shantanu-ai/Explainability-with-LTH

    Repository of the course project of CMU 16-824 Visual Learning and Recognition

    Language:Jupyter Notebook3100
  • PatzEdi/PowerballProbabilities

    Powerball Lottery Data Probability loader and Parser written in Python

    Language:Python2100