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Workshop
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Fri 5:15
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Spotlight 3: James Townsend and Iain Murray, Lossless compression with state space models using bits back coding
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Workshop
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Fri 6:00
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Keynote 3: Ehsan Saboori. Title: Deep learning model compression using neural network design space exploration
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Poster
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Thu 17:00
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Neural Pruning via Growing Regularization
Huan Wang · Can Qin · Yulun Zhang · Yun Fu
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Poster
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Tue 17:00
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Hierarchical Autoregressive Modeling for Neural Video Compression
Ruihan Yang · Yibo Yang · Joe Marino · Stephan Mandt
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Poster
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Tue 9:00
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Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks
Thomas Bird · Friso Kingma · David Barber
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Poster
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Tue 9:00
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UMEC: Unified model and embedding compression for efficient recommendation systems
Jiayi Shen · Haotao Wang · Shupeng Gui · Jianchao Tan · Zhangyang Wang · Ji Liu
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Poster
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Tue 1:00
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Lossless Compression of Structured Convolutional Models via Lifting
Gustav Sourek · Filip Zelezny · Ondrej Kuzelka
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Poster
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Tue 1:00
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IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression
Rianne van den Berg · Alexey Gritsenko · Mostafa Dehghani · Casper Sønderby · Tim Salimans
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Poster
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Mon 1:00
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Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Ties van Rozendaal · Iris Huijben · Taco Cohen
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Poster
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Thu 9:00
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Initialization and Regularization of Factorized Neural Layers
Mikhail Khodak · Neil Tenenholtz · Lester Mackey · Nicolo Fusi
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Poster
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Mon 1:00
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Training with Quantization Noise for Extreme Model Compression
Pierre Stock · Angela Fan · Benjamin Graham · Edouard Grave · Rémi Gribonval · Hervé Jégou · Armand Joulin
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Poster
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Tue 1:00
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Learning Accurate Entropy Model with Global Reference for Image Compression
Yichen Qian · Zhiyu Tan · Xiuyu Sun · Ming Lin · Dongyang Li · Zhenhong Sun · Li Hao · Rong Jin
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