model compression

3283 papers

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MC

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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

AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution CVPR 2024

A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning CVPR 2024

Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis CVPR 2024

Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector CVPR 2024

Compact 3D Gaussian Representation for Radiance Field CVPR 2024

Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions EMNLP 2024

2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution NIPS 2024

Pruning before Fine-tuning: A Retraining-free Compression Framework for Pre-trained Language Models COLING 2024

Probe Then Retrieve and Reason: Distilling Probing and Reasoning Capabilities into Smaller Language Models COLING 2024

ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification NIPS 2024

Multilingual Brain Surgeon: Large Language Models Can Be Compressed Leaving No Language behind COLING 2024

LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models COLING 2024

ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning CVPR 2024

Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation COLING 2024

Efficient Audio Captioning with Encoder-Level Knowledge Distillation INTERSPEECH 2024

Adaptive Deep Neural Network Inference Optimization With EENet WACV 2024

BOLD: Boolean Logic Deep Learning NIPS 2024

VE-KD: Vocabulary-Expansion Knowledge-Distillation for Training Smaller Domain-Specific Language Models EMNLP 2024

Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps INTERSPEECH 2024

Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis CVPR 2024

LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment NIPS 2024

DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs NIPS 2024

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction EMNLP 2024

Dense Vision Transformer Compression with Few Samples CVPR 2024

UniPTS: A Unified Framework for Proficient Post-Training Sparsity CVPR 2024