Linear Mode Connectivity and the Lottery Ticket Hypothesis

11 December 2019

Jonathan Frankle

Gintare Karolina Dziugaite

Papers citing "Linear Mode Connectivity and the Lottery Ticket Hypothesis"

50 / 154 papers shown

Title
Linear Connectivity Reveals Generalization Strategies Jeevesh Juneja Rachit Bansal Kyunghyun Cho João Sedoc Naomi Saphra 242 45 0 24 May 2022
Convolutional and Residual Networks Provably Contain Lottery Tickets R. Burkholz UQCV MLT 37 13 0 04 May 2022
Most Activation Functions Can Win the Lottery Without Excessive Depth R. Burkholz MLT 69 18 0 04 May 2022
Fusing finetuned models for better pretraining Leshem Choshen Elad Venezian Noam Slonim Yoav Katz FedML AI4CE MoMe 48 87 0 06 Apr 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 36 11 0 06 Apr 2022
Monarch: Expressive Structured Matrices for Efficient and Accurate Training Tri Dao Beidi Chen N. Sohoni Arjun D Desai Michael Poli Jessica Grogan Alexander Liu Aniruddh Rao Atri Rudra Christopher Ré 22 87 0 01 Apr 2022
Structured Pruning Learns Compact and Accurate Models Mengzhou Xia Zexuan Zhong Danqi Chen VLM 9 177 0 01 Apr 2022
Playing Lottery Tickets in Style Transfer Models Meihao Kong Jing Huo Wenbin Li Jing Wu Yu-Kun Lai Yang Gao 27 1 0 25 Mar 2022
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety Nathan Hubens M. Mancas B. Gosselin Marius Preda T. Zaharia 21 2 0 11 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time Mitchell Wortsman Gabriel Ilharco S. Gadre Rebecca Roelofs Raphael Gontijo-Lopes ... Hongseok Namkoong Ali Farhadi Y. Carmon Simon Kornblith Ludwig Schmidt MoMe 54 916 1 10 Mar 2022
Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks Siddhartha Datta N. Shadbolt AAML 29 6 0 07 Mar 2022
The rise of the lottery heroes: why zero-shot pruning is hard Enzo Tartaglione 26 6 0 24 Feb 2022
Rare Gems: Finding Lottery Tickets at Initialization Kartik K. Sreenivasan Jy-yong Sohn Liu Yang Matthew Grinde Alliot Nagle Hongyi Wang Eric P. Xing Kangwook Lee Dimitris Papailiopoulos 30 42 0 24 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu (Allen) Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 85 46 0 20 Feb 2022
When Do Flat Minima Optimizers Work? Jean Kaddour Linqing Liu Ricardo M. A. Silva Matt J. Kusner ODL 24 58 0 01 Feb 2022
MVDG: A Unified Multi-view Framework for Domain Generalization Jian Zhang Lei Qi Yinghuan Shi Yang Gao 24 29 0 23 Dec 2021
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models Tri Dao Beidi Chen Kaizhao Liang Jiaming Yang Zhao-quan Song Atri Rudra Christopher Ré 33 75 0 30 Nov 2021
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication Lukasz Kuciñski Tomasz Korbak P. Kołodziej Piotr Milo's 60 19 0 11 Nov 2021
When to Prune? A Policy towards Early Structural Pruning Maying Shen Pavlo Molchanov Hongxu Yin J. Álvarez VLM 28 52 0 22 Oct 2021
Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning Soufiane Hayou Bo He Gintare Karolina Dziugaite 37 2 0 22 Oct 2021
Lottery Tickets with Nonzero Biases Jonas Fischer Advait Gadhikar R. Burkholz 19 6 0 21 Oct 2021
S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based Networks Shiyu Liu Chong Min John Tan Mehul Motani CLL 29 4 0 17 Oct 2021
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector Guoliang Lin Hanlu Chu Hanjiang Lai MoMe CLL 29 43 0 15 Oct 2021
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks R. Entezari Hanie Sedghi O. Saukh Behnam Neyshabur MoMe 37 216 0 12 Oct 2021
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
Prune Your Model Before Distill It Jinhyuk Park Albert No VLM 46 27 0 30 Sep 2021
Towards Generalized and Incremental Few-Shot Object Detection Yiting Li H. Zhu Jun Ma C. Teo Chen Xiang P. Vadakkepat T. Lee CLL ObjD 26 9 0 23 Sep 2021
Connecting Low-Loss Subspace for Personalized Federated Learning S. Hahn Minwoo Jeong Junghye Lee FedML 24 18 0 16 Sep 2021
What's Hidden in a One-layer Randomly Weighted Transformer? Sheng Shen Z. Yao Douwe Kiela Kurt Keutzer Michael W. Mahoney 32 4 0 08 Sep 2021
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 64 689 0 04 Sep 2021
Layer-wise Model Pruning based on Mutual Information Chun Fan Jiwei Li Xiang Ao Fei Wu Yuxian Meng Xiaofei Sun 46 19 0 28 Aug 2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? Xiaolong Ma Geng Yuan Xuan Shen Tianlong Chen Xuxi Chen ... Ning Liu Minghai Qin Sijia Liu Zhangyang Wang Yanzhi Wang 19 63 0 01 Jul 2021
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity Shiwei Liu Tianlong Chen Zahra Atashgahi Xiaohan Chen Ghada Sokar Elena Mocanu Mykola Pechenizkiy Zhangyang Wang D. Mocanu OOD 31 49 0 28 Jun 2021
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness James Diffenderfer Brian Bartoldson Shreya Chaganti Jize Zhang B. Kailkhura OOD 31 69 0 16 Jun 2021
Revisiting Model Stitching to Compare Neural Representations Yamini Bansal Preetum Nakkiran Boaz Barak FedML 44 105 0 14 Jun 2021
GANs Can Play Lottery Tickets Too Xuxi Chen Zhenyu (Allen) Zhang Yongduo Sui Tianlong Chen GAN 19 58 0 31 May 2021
Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones? Franco Pellegrini Giulio Biroli 49 6 0 27 Apr 2021
Playing Lottery Tickets with Vision and Language Zhe Gan Yen-Chun Chen Linjie Li Tianlong Chen Yu Cheng Shuohang Wang Jingjing Liu Lijuan Wang Zicheng Liu VLM 106 54 0 23 Apr 2021
Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes James Lucas Juhan Bae Michael Ruogu Zhang Stanislav Fort R. Zemel Roger C. Grosse MoMe 164 28 0 22 Apr 2021
Intraclass clustering: an implicit learning ability that regularizes DNNs Simon Carbonnelle Christophe De Vleeschouwer 57 8 0 11 Mar 2021
Recent Advances on Neural Network Pruning at Initialization Huan Wang Can Qin Yue Bai Yulun Zhang Yun Fu CVBM 33 64 0 11 Mar 2021
Clusterability in Neural Networks Daniel Filan Stephen Casper Shlomi Hod Cody Wild Andrew Critch Stuart J. Russell GNN 32 30 0 04 Mar 2021
Learning Neural Network Subspaces Mitchell Wortsman Maxwell Horton Carlos Guestrin Ali Farhadi Mohammad Rastegari UQCV 27 85 0 20 Feb 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 27 122 0 12 Dec 2020
Rethinking Weight Decay For Efficient Neural Network Pruning Hugo Tessier Vincent Gripon Mathieu Léonardon M. Arzel T. Hannagan David Bertrand 26 25 0 20 Nov 2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 77 670 0 06 Nov 2020
Linear Mode Connectivity in Multitask and Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Dilan Görür Razvan Pascanu H. Ghasemzadeh CLL 34 138 0 09 Oct 2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot Jingtong Su Yihang Chen Tianle Cai Tianhao Wu Ruiqi Gao Liwei Wang J. Lee 14 85 0 22 Sep 2020
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization? Yaniv Blumenfeld D. Gilboa Daniel Soudry ODL 27 13 0 02 Jul 2020
On the Predictability of Pruning Across Scales Jonathan S. Rosenfeld Jonathan Frankle Michael Carbin Nir Shavit 12 37 0 18 Jun 2020