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Model Compression

1,952 papers

Papers per year

6
114
489
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Papers

Dirichlet Pruning for Convolutional Neural Networks AISTATS 2021
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration CVPR 2021
Distilling Knowledge via Knowledge Review CVPR 2021
Bi-GCN: Binary Graph Convolutional Network CVPR 2021
Complementary Relation Contrastive Distillation CVPR 2021
Dynamic Slimmable Network CVPR 2021
QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks CVPR 2021
KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning CVPR 2021
Zero-Shot Adversarial Quantization CVPR 2021
CDFI: Compression-Driven Network Design for Frame Interpolation CVPR 2021
Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution CVPR 2021
Towards Compact CNNs via Collaborative Compression CVPR 2021
Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner CVPR 2021
Network Pruning via Performance Maximization CVPR 2021
Convolutional Neural Network Pruning With Structural Redundancy Reduction CVPR 2021
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models CVPR 2021
Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021
Decoupled Dynamic Filter Networks CVPR 2021
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework CVPR 2021
Manifold Regularized Dynamic Network Pruning CVPR 2021
BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression EACL 2021
Through the Looking Glass: Learning to Attribute Synthetic Text Generated by Language Models EACL 2021
Annealing Knowledge Distillation EACL 2021
Extremely Small BERT Models from Mixed-Vocabulary Training EACL 2021
On-Device Text Representations Robust To Misspellings via Projections EACL 2021