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Model Compression

1674 directly classified papers

Papers per year

Papers

Compressing 1D Time-Channel Separable Convolutions Using Sparse Random Ternary Matrices INTERSPEECH 2021
Efficient Weight Factorization for Multilingual Speech Recognition INTERSPEECH 2021
Efficient Lottery Ticket Finding: Less Data is More ICML 2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework NIPS 2021
Post-Training Sparsity-Aware Quantization NIPS 2021
Adversarial Neuron Pruning Purifies Backdoored Deep Models NIPS 2021
Deformable Butterfly: A Highly Structured and Sparse Linear Transform NIPS 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification NIPS 2021
CondenseNet V2: Sparse Feature Reactivation for Deep Networks CVPR 2021
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration CVPR 2021
NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization CVPR 2021
Dynamic Slimmable Network CVPR 2021
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search CVPR 2021
Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure CVPR 2021
Compatibility-Aware Heterogeneous Visual Search CVPR 2021
Tree-Like Decision Distillation CVPR 2021
The Lottery Ticket Hypothesis for Object Recognition CVPR 2021
Adversarially Adaptive Normalization for Single Domain Generalization CVPR 2021
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models CVPR 2021
Diversifying Sample Generation for Accurate Data-Free Quantization CVPR 2021
Scaled-YOLOv4: Scaling Cross Stage Partial Network CVPR 2021
Knowledge Evolution in Neural Networks CVPR 2021
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework CVPR 2021
Manifold Regularized Dynamic Network Pruning CVPR 2021
Mixed-Privacy Forgetting in Deep Networks CVPR 2021