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Poster
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Tue 9:00
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Context-adaptive Entropy Model for End-to-end Optimized Image Compression
Jooyoung Lee · Seunghyun Cho · Seung-Kwon Beack
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Poster
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Wed 14:30
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Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network
Daehyun Ahn · Dongsoo Lee · Taesu Kim · Jae-Joon Kim
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Poster
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Tue 9:00
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A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery
Ali Mousavi · Gautam Dasarathy · Richard Baraniuk
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Poster
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Wed 14:30
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Adaptive Estimators Show Information Compression in Deep Neural Networks
Ivan Chelombiev · Conor Houghton · Cian O'Donnell
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Poster
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Wed 14:30
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The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle · Michael Carbin
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Poster
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Wed 14:30
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Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking
Haichuan Yang · Yuhao Zhu · Ji Liu
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Poster
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Wed 14:30
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Rethinking the Value of Network Pruning
Zhuang Liu · Mingjie Sun · Tinghui Zhou · Gao Huang · Trevor Darrell
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Poster
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Wed 14:30
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Relaxed Quantization for Discretized Neural Networks
Christos Louizos · Matthias Reisser · Tijmen Blankevoort · Efstratios Gavves · Max Welling
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Poster
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Tue 14:30
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Learnable Embedding Space for Efficient Neural Architecture Compression
Shengcao Cao · Xiaofang Wang · Kris M Kitani
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Poster
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Tue 9:00
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Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach
Wenda Zhou · Victor Veitch · Morgane Austern · Ryan P Adams · Peter Orbanz
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Poster
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Thu 14:30
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Practical lossless compression with latent variables using bits back coding
James Townsend · Thomas Bird · David Barber
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Poster
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Tue 14:30
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Dynamic Sparse Graph for Efficient Deep Learning
Liu Liu · Lei Deng · Xing Hu · Maohua Zhu · Guoqi Li · Yufei Ding · Yuan Xie
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