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

Task-Specific Zero-shot Quantization-Aware Training for Object Detection ICCV 2025

Variance-Based Pruning for Accelerating and Compressing Trained Networks ICCV 2025

VRM: Knowledge Distillation via Virtual Relation Matching ICCV 2025

Knowledge Distillation with Refined Logits ICCV 2025

Knowledge Distillation for Learned Image Compression ICCV 2025

DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge CVPR 2025

Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration CVPR 2025

PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting CVPR 2025

Scaling Down Text Encoders of Text-to-Image Diffusion Models CVPR 2025

MixA-Q: Revisiting Activation Sparsity for Vision Transformers from a Mixed-Precision Quantization Perspective ICCV 2025

Comparative Knowledge Distillation WACV 2025

GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference IJCNLP 2025

Multilingual Iterative Model Pruning: What Matters? IJCNLP 2025

Less Can be More: An Empirical Evaluation of Small and Large Language Models for Sentence-level Claim Detection ACL 2025

Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection IJCAI 2025

Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation CVPR 2025

ControlMed: Adding Reasoning Control to Medical Language Model IJCNLP 2025

L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models ACL 2025

Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation AAAI 2025

Pre-training Distillation for Large Language Models: A Design Space Exploration ACL 2025

Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers ICCV 2025

PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models ACL 2025

Make Your Training Flexible: Towards Deployment-Efficient Video Models ICCV 2025

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models ACL 2025

QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge CVPR 2025