firstbacksecondback
80 Results
Poster
|
Wed 9:00 |
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations Steffen Schotthöfer · Emanuele Zangrando · Jonas Kusch · Gianluca Ceruti · Francesco Tudisco |
|
Poster
|
Multi-Sample Training for Neural Image Compression Tongda Xu · Yan Wang · Dailan He · Chenjian Gao · Han Gao · Kunzan Liu · Hongwei Qin |
||
Poster
|
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models Yuanxin Liu · Fandong Meng · Zheng Lin · Jiangnan Li · Peng Fu · Yanan Cao · Weiping Wang · Jie Zhou |
||
Poster
|
Tue 14:00 |
BEER: Fast Rate for Decentralized Nonconvex Optimization with Communication Compression Haoyu Zhao · Boyue Li · Zhize Li · Peter Richtarik · Yuejie Chi |
|
Poster
|
Thu 14:00 |
Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes Joachim Rubinstein · Benjamin Rubinstein |
|
Poster
|
Thu 14:00 |
BiT: Robustly Binarized Multi-distilled Transformer Zechun Liu · Barlas Oguz · Aasish Pappu · Lin Xiao · Scott Yih · Meng Li · Raghuraman Krishnamoorthi · Yashar Mehdad |
|
Poster
|
SAViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization Chuanyang Zheng · zheyang li · Kai Zhang · Zhi Yang · Wenming Tan · Jun Xiao · Ye Ren · Shiliang Pu |
||
Poster
|
Tue 14:00 |
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization Laurent Condat · Kai Yi · Peter Richtarik |
|
Poster
|
Wed 9:00 |
Parameter-Efficient Masking Networks Yue Bai · Huan Wang · Xu Ma · Yitian Zhang · Zhiqiang Tao · Yun Fu |
|
Poster
|
Thu 14:00 |
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units Igor Fedorov · Ramon Matas · Hokchhay Tann · Chuteng Zhou · Matthew Mattina · Paul Whatmough |
|
Poster
|
Tue 14:00 |
Information-Theoretic GAN Compression with Variational Energy-based Model Minsoo Kang · Hyewon Yoo · Eunhee Kang · Sehwan Ki · Hyong Euk Lee · Bohyung Han |
|
Tutorial
|
Mon 14:00 |
Data Compression with Machine Learning Karen Ullrich · Yibo Yang · Stephan Mandt |