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Model Compression

141 directly classified papers

Papers per year

Papers

EC-DARTS: Inducing Equalized and Consistent Optimization Into DARTS ICCV 2021
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset ICML 2021
A Probabilistic Approach to Neural Network Pruning ICML 2021
On the Predictability of Pruning Across Scales ICML 2021
PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data ICML 2021
Self-Born Wiring for Neural Trees ICCV 2021
Lipschitz Continuity Guided Knowledge Distillation ICCV 2021
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor ACL 2021
Accelerating BERT Inference for Sequence Labeling via Early-Exit ACL 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks ICML 2021
BASE Layers: Simplifying Training of Large, Sparse Models ICML 2021
Diverse Branch Block: Building a Convolution as an Inception-Like Unit CVPR 2021
Network Pruning via Performance Maximization CVPR 2021
Convolutional Neural Network Pruning With Structural Redundancy Reduction CVPR 2021
MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection CVPR 2021
Manifold Regularized Dynamic Network Pruning CVPR 2021
An Efficient Transformer Decoder with Compressed Sub-layers AAAI 2021
Robust Model Compression Using Deep Hypotheses AAAI 2021
Dynamic Region-Aware Convolution CVPR 2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NIPS 2021
Versatile Verification of Tree Ensembles ICML 2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators ICML 2021
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search ICML 2021
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems NIPS 2020
Channel Pruning via Automatic Structure Search IJCAI 2020