Learning Sparse Neural Networks through $L_0$ Regularization

4 December 2017

Papers citing "Learning Sparse Neural Networks through $L_0$ Regularization"

50 / 152 papers shown

Title
Super-fast rates of convergence for Neural Networks Classifiers under the Hard Margin Condition Nathanael Tepakbong Ding-Xuan Zhou Xiang Zhou 33 0 0 13 May 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 123 1 0 10 Mar 2025
MaskPrune: Mask-based LLM Pruning for Layer-wise Uniform Structures Jiayu Qin Jianchao Tan K. Zhang Xunliang Cai Wei Wang 40 0 0 19 Feb 2025
Advancing Weight and Channel Sparsification with Enhanced Saliency Xinglong Sun Maying Shen Hongxu Yin Lei Mao Pavlo Molchanov Jose M. Alvarez 46 1 0 05 Feb 2025
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Chris Kolb T. Weber Bernd Bischl David Rügamer 106 0 0 04 Feb 2025
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks Giulia Fracastoro Sophie M. Fosson Andrea Migliorati G. Calafiore 38 1 0 19 Jan 2025
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models Philipp Mondorf Sondre Wold Barbara Plank 34 0 0 02 Oct 2024
Evaluating Model Robustness Using Adaptive Sparse L0 Regularization Weiyou Liu Zhenyang Li Weitong Chen AAML 20 1 0 28 Aug 2024
Mask in the Mirror: Implicit Sparsification Tom Jacobs R. Burkholz 42 3 0 19 Aug 2024
Isomorphic Pruning for Vision Models Gongfan Fang Xinyin Ma Michael Bi Mi Xinchao Wang VLM ViT 34 6 0 05 Jul 2024
Finding Transformer Circuits with Edge Pruning Adithya Bhaskar Alexander Wettig Dan Friedman Danqi Chen 62 16 0 24 Jun 2024
Geometric sparsification in recurrent neural networks Wyatt Mackey Ioannis Schizas Jared Deighton David L. Boothe, Jr. Vasileios Maroulas 28 0 0 10 Jun 2024
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness Guangliang Liu Milad Afshari Xitong Zhang Zhiyu Xue Avrajit Ghosh Bidhan Bashyal Rongrong Wang K. Johnson 27 0 0 06 Jun 2024
S3D: A Simple and Cost-Effective Self-Speculative Decoding Scheme for Low-Memory GPUs Wei Zhong Manasa Bharadwaj 37 5 0 30 May 2024
A separability-based approach to quantifying generalization: which layer is best? Luciano Dyballa Evan Gerritz Steven W. Zucker OOD 28 3 0 02 May 2024
AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration Haoxiao Wang Bo Peng Jianhua Zhang Xu Cheng AI4TS 39 1 0 28 Apr 2024
Where does In-context Translation Happen in Large Language Models Suzanna Sia David Mueller Kevin Duh LRM 33 0 0 07 Mar 2024
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration Mike Heddes Narayan Srinivasa T. Givargis Alexandru Nicolau 91 0 0 12 Jan 2024
The LLM Surgeon Tycho F. A. van der Ouderaa Markus Nagel M. V. Baalen Yuki Markus Asano Tijmen Blankevoort 26 14 0 28 Dec 2023
Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs Shivam Aggarwal Hans Jakob Damsgaard Alessandro Pappalardo Giuseppe Franco Thomas B. Preußer Michaela Blott Tulika Mitra MQ 19 5 0 21 Nov 2023
End-to-end Feature Selection Approach for Learning Skinny Trees Shibal Ibrahim Kayhan Behdin Rahul Mazumder 25 0 0 28 Oct 2023
f-Divergence Minimization for Sequence-Level Knowledge Distillation Yuqiao Wen Zichao Li Wenyu Du Lili Mou 30 53 0 27 Jul 2023
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing Yelysei Bondarenko Markus Nagel Tijmen Blankevoort MQ 13 88 0 22 Jun 2023
A Simple and Effective Pruning Approach for Large Language Models Mingjie Sun Zhuang Liu Anna Bair J. Zico Kolter 56 353 0 20 Jun 2023
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation Yixiao Li Yifan Yu Qingru Zhang Chen Liang Pengcheng He Weizhu Chen Tuo Zhao 33 65 0 20 Jun 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh X. Zhang Jing Chen BDL 40 7 0 26 May 2023
How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning Rochelle Choenni Dan Garrette Ekaterina Shutova 32 15 0 22 May 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 35 72 0 21 May 2023
SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving Minjae Lee Seongmin Park Hyung-Se Kim Minyong Yoon Jangwhan Lee Junwon Choi Nam Sung Kim Mingu Kang Jungwook Choi 3DPC 26 4 0 12 May 2023
VISION DIFFMASK: Faithful Interpretation of Vision Transformers with Differentiable Patch Masking A. Nalmpantis Apostolos Panagiotopoulos John Gkountouras Konstantinos Papakostas Wilker Aziz 15 4 0 13 Apr 2023
NTK-SAP: Improving neural network pruning by aligning training dynamics Yite Wang Dawei Li Ruoyu Sun 28 19 0 06 Apr 2023
Learning Sparsity of Representations with Discrete Latent Variables Zhao Xu Daniel Oñoro-Rubio G. Serra Mathias Niepert 13 0 0 03 Apr 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis Haoyu He Yuede Ji H. H. Huang 23 20 0 26 Mar 2023
Personalized Lightweight Text-to-Speech: Voice Cloning with Adaptive Structured Pruning Sung-Feng Huang Chia-Ping Chen Zhi-Sheng Chen Yu-Pao Tsai Hung-yi Lee 16 2 0 21 Mar 2023
Memorization Capacity of Neural Networks with Conditional Computation Erdem Koyuncu 30 4 0 20 Mar 2023
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee Chenyang Li Jihoon Chung Mengnan Du Haimin Wang Xianlian Zhou Bohao Shen 33 1 0 13 Mar 2023
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 26 29 0 03 Mar 2023
DSD $^2$ : Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? Victor Quétu Enzo Tartaglione 24 7 0 02 Mar 2023
Balanced Training for Sparse GANs Yite Wang Jing Wu N. Hovakimyan Ruoyu Sun 32 9 0 28 Feb 2023
Considering Layerwise Importance in the Lottery Ticket Hypothesis Benjamin Vandersmissen José Oramas 15 1 0 22 Feb 2023
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning Anran Li Hongyi Peng Lan Zhang Jiahui Huang Qing-Wu Guo Han Yu Yang Liu FedML 25 28 0 21 Feb 2023
DAG Learning on the Permutahedron Valentina Zantedeschi Luca Franceschi Jean Kaddour Matt J. Kusner Vlad Niculae 27 11 0 27 Jan 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning Athul Shibu Abhishek Kumar Heechul Jung Dong-Gyu Lee 9 1 0 26 Jan 2023
SpArX: Sparse Argumentative Explanations for Neural Networks [Technical Report] Hamed Ayoobi Nico Potyka Francesca Toni 16 17 0 23 Jan 2023
Learnable Heterogeneous Convolution: Learning both topology and strength Rongzhen Zhao Zhenzhi Wu Qikun Zhang 19 6 0 13 Jan 2023
Inversion of Bayesian Networks Jesse van Oostrum Peter van Hintum Nihat Ay BDL 13 1 0 20 Dec 2022
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification Lirui Xiao Huanrui Yang Zhen Dong Kurt Keutzer Li Du Shanghang Zhang MQ 27 10 0 06 Dec 2022
Robust Training of Graph Neural Networks via Noise Governance Siyi Qian Haochao Ying Renjun Hu Jingbo Zhou Jintai Chen D. Z. Chen Jian Wu NoLa 25 34 0 12 Nov 2022
Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence Y. Li Xin Ma Rajshekhar Sunderraman Shihao Ji Suprateek Kundu 16 6 0 11 Nov 2022
LOFT: Finding Lottery Tickets through Filter-wise Training Qihan Wang Chen Dun Fangshuo Liao C. Jermaine Anastasios Kyrillidis 18 3 0 28 Oct 2022