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model compression

3283 papers

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Also known as

MC

Co-occurring keywords

knowledge distillation (3680) large language model (12755) neural network (6616) efficient computing (779) neural network optimization (1293) transfer learning (5442) convolutional neural network (4216) neural network pruning (265) language model (4573) parameter efficiency (415)

Papers

Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NIPS 2023
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models NIPS 2023
ZipLM: Inference-Aware Structured Pruning of Language Models NIPS 2023
Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG IJCAI 2023
Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks NIPS 2023
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer NIPS 2023
You Only Condense Once: Two Rules for Pruning Condensed Datasets NIPS 2023
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers NIPS 2023
Channel Regeneration: Improving Channel Utilization for Compact DNNs AAAI 2023
Memory-Oriented Structural Pruning for Efficient Image Restoration AAAI 2023
Efficient Image Captioning for Edge Devices AAAI 2023
Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution NIPS 2023
A fast heuristic to optimize time-space tradeoff for large models NIPS 2023
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation NIPS 2023
Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism NIPS 2023
TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer ICCV 2023
Exploring Transformers as Compact, Data-efficient Language Models EMNLP 2023
Compact and Optimal Deep Learning With Recurrent Parameter Generators WACV 2023
SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction MIDL 2023
ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer CVPR 2023
Accelerating Dataset Distillation via Model Augmentation CVPR 2023
Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition CVPR 2023
Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers CVPR 2023
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions CVPR 2023
Genie: Show Me the Data for Quantization CVPR 2023