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Model Compression

1503 directly classified papers

Papers per year

Papers

On Biased Compression for Distributed Learning JMLR 2023
A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers JMLR 2023
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer CVPR 2023
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers CVPR 2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis CVPR 2023
FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits CVPR 2023
Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution CVPR 2023
Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers CVPR 2023
Adaptive Data-Free Quantization CVPR 2023
Train-Once-for-All Personalization CVPR 2023
Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis CVPR 2023
Making Vision Transformers Efficient From a Token Sparsification View CVPR 2023
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures CVPR 2023
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning CVPR 2023
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration CVPR 2023
MobileOne: An Improved One Millisecond Mobile Backbone CVPR 2023
Parameter-efficient Tuning for Large Language Model without Calculating Its Gradients EMNLP 2023
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER CVPR 2023
Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition CVPR 2023
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models EMNLP 2023
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules EMNLP 2023
Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation EMNLP 2023
ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs EMNLP 2023
Energy and Carbon Considerations of Fine-Tuning BERT EMNLP 2023
Global Vision Transformer Pruning With Hessian-Aware Saliency CVPR 2023