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Model Compression

1503 directly classified papers

Papers per year

Papers

Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning EMNLP 2023
SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision EMNLP 2023
Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation EMNLP 2023
G-SPEED: General SParse Efficient Editing MoDel EMNLP 2023
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference EMNLP 2023
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers CVPR 2023
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection CVPR 2023
Efficient On-Device Training via Gradient Filtering CVPR 2023
Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression CVPR 2023
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer CVPR 2023
MobileTL: On-Device Transfer Learning with Inverted Residual Blocks AAAI 2023
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning AAAI 2023
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference AAAI 2023
OMPQ: Orthogonal Mixed Precision Quantization AAAI 2023
Dynamic Structure Pruning for Compressing CNNs AAAI 2023
Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping AAAI 2023
Compressing Transformers: Features Are Low-Rank, but Weights Are Not! AAAI 2023
1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions CVPR 2023
Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models EMNLP 2023
Efficient Multilingual Language Model Compression through Vocabulary Trimming EMNLP 2023
Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing EMNLP 2023
Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification EMNLP 2023
Decomposed Prompt Tuning via Low-Rank Reparameterization EMNLP 2023
Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity EMNLP 2023
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models EMNLP 2023