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38 Results
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Poster
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CrAM: A Compression-Aware Minimizer Alexandra Peste · Adrian Vladu · Eldar Kurtic · Christoph H Lampert · Dan Alistarh |
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Poster
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Tue 7:30 |
A Unified Framework for Soft Threshold Pruning Yanqi Chen · Zhengyu Ma · Wei Fang · Xiawu Zheng · Zhaofei Yu · Yonghong Tian |
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Poster
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Tue 2:30 |
LDMIC: Learning-based Distributed Multi-view Image Coding Xinjie Zhang · Jiawei Shao · Jun Zhang |
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Poster
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Tue 2:30 |
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top Eduard Gorbunov · Samuel Horváth · Peter Richtarik · Gauthier Gidel |
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Poster
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Serving Graph Compression for Graph Neural Networks Si Si · Felix Yu · Ankit Singh Rawat · Cho-Jui Hsieh · Sanjiv Kumar |
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Poster
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Quantized Compressed Sensing with Score-Based Generative Models Xiangming Meng · Yoshiyuki Kabashima |
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Poster
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Pruning Deep Neural Networks from a Sparsity Perspective Enmao Diao · Ganghua Wang · Jiawei Zhang · Yuhong Yang · Jie Ding · VAHID TAROKH |
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Poster
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Tue 2:30 |
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish · Kamal Gupta · Saurabh Singh · Abhinav Shrivastava |
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Poster
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Minimum Variance Unbiased N:M Sparsity for the Neural Gradients Brian Chmiel · Itay Hubara · Ron Banner · Daniel Soudry |
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Poster
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Neural Networks Efficiently Learn Low-Dimensional Representations with SGD Alireza Mousavi-Hosseini · Sejun Park · Manuela Girotti · Ioannis Mitliagkas · Murat A Erdogdu |
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Poster
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Mon 7:30 |
TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning Chaitanya Murti · Tanay Narshana · Chiranjib Bhattacharyya |
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Poster
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Wed 7:30 |
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training Joya Chen · Kai Xu · Yuhui Wang · Yifei Cheng · Angela Yao |