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Poster
Mon 1:00 Progressive Skeletonization: Trimming more fat from a network at initialization
Pau de Jorge Aranda · Amartya Sanyal · Harkirat Singh Behl · Philip Torr · GrĂ©gory Rogez · Puneet Dokania
Poster
Mon 9:00 Pruning Neural Networks at Initialization: Why Are We Missing the Mark?
Jonathan Frankle · Gintare Dziugaite · Anonymous A Author · Michael Carbin
Oral
Mon 11:30 Growing Efficient Deep Networks by Structured Continuous Sparsification
Xin Yuan · Pedro Savarese · Michael Maire
Poster
Mon 17:00 Layer-adaptive Sparsity for the Magnitude-based Pruning
Jaeho Lee · Sejun Park · Sangwoo Mo · Sungsoo Ahn · Jinwoo Shin
Poster
Wed 9:00 Growing Efficient Deep Networks by Structured Continuous Sparsification
Xin Yuan · Pedro Savarese · Michael Maire
Poster
Wed 9:00 A Gradient Flow Framework For Analyzing Network Pruning
Ekdeep Singh Lubana · Robert Dick
Spotlight
Wed 13:48 A Gradient Flow Framework For Analyzing Network Pruning
Ekdeep Singh Lubana · Robert Dick
Poster
Wed 17:00 Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System
Jianhong Wang · Yuan Zhang · Tae-Kyun Kim · Yunjie Gu
Poster
Thu 1:00 Network Pruning That Matters: A Case Study on Retraining Variants
Duong Le · Binh-Son Hua
Poster
Thu 17:00 Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
James Diffenderfer · Bhavya Kailkhura
Poster
Thu 17:00 Neural Pruning via Growing Regularization
Huan Wang · Can Qin · Yulun Zhang · Yun Fu
Workshop
Baseline Pruning-Based Approach to Trojan Detection in Neural Networks
Peter Bajcsy