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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 O(1/T) 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