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Model Compression

1674 directly classified papers

Papers per year

Papers

FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness WACV 2023
Calibrating a Deep Neural Network with Its Predecessors IJCAI 2023
Efficient Skeleton-Based Action Recognition via Joint-Mapping Strategies WACV 2023
Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers CVPR 2023
Adaptive Data-Free Quantization CVPR 2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective CVPR 2023
Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis CVPR 2023
DepGraph: Towards Any Structural Pruning CVPR 2023
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer AAAI 2023
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network With Large Input CVPR 2023
Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation CVPR 2023
Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary CVPR 2023
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures CVPR 2023
Gemel: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge NSDI 2023
Genie: Show Me the Data for Quantization CVPR 2023
Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization CVPR 2023
Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation CVPR 2023
Integral Neural Networks CVPR 2023
Accelerating Dataset Distillation via Model Augmentation CVPR 2023
Effective Ambiguity Attack Against Passport-Based DNN Intellectual Property Protection Schemes Through Fully Connected Layer Substitution CVPR 2023
ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector CVPR 2023
SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy CVPR 2023
Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition CVPR 2023
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER CVPR 2023
Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping AAAI 2023