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Model Compression

1,785 papers

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Papers

Online Convolutional Re-Parameterization CVPR 2022
HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks CVPR 2022
Reversible Vision Transformers CVPR 2022
Rep-Net: Efficient On-Device Learning via Feature Reprogramming CVPR 2022
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation CVPR 2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free CVPR 2022
Slimmable Domain Adaptation CVPR 2022
DyRep: Bootstrapping Training With Dynamic Re-Parameterization CVPR 2022
DECORE: Deep Compression With Reinforcement Learning CVPR 2022
Attentive Fine-Grained Structured Sparsity for Image Restoration CVPR 2022
Knowledge Distillation With the Reused Teacher Classifier CVPR 2022
Data-Free Network Compression via Parametric Non-Uniform Mixed Precision Quantization CVPR 2022
DeeCap: Dynamic Early Exiting for Efficient Image Captioning CVPR 2022
PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models CVPR 2022
3DAC: Learning Attribute Compression for Point Clouds CVPR 2022
Instance-Aware Dynamic Neural Network Quantization CVPR 2022
When To Prune? A Policy Towards Early Structural Pruning CVPR 2022
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation CVPR 2022
Compressing Models With Few Samples: Mimicking Then Replacing CVPR 2022
The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains EMNLP 2022
Linearizing Transformer with Key-Value Memory EMNLP 2022
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models EMNLP 2022
Sparse Teachers Can Be Dense with Knowledge EMNLP 2022
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding EMNLP 2022
Mixture of Attention Heads: Selecting Attention Heads Per Token EMNLP 2022