[AAAI 2020] Pruning Paper List

Reborn Filters: Pruning Convolutional Neural Networks with Limited Data

Learning Agent Communication under Limited Bandwidth by Message Pruning

Dynamic Network Pruning with Interpretable Layerwise Channel Selection

Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Device

DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks

Novel Is Not Always Better: On the Relation between Novelty and Dominance Pruning

AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates

Pruning from Scratch

Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks

Channel Pruning Guided by Classification Loss and Featured Importance