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

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

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

MobilePortrait: Real-Time One-Shot Neural Head Avatars on Mobile Devices CVPR 2025

Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems EMNLP 2025

EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models EMNLP 2025

DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture CVPR 2025

Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly EMNLP 2025

CIARD: Cyclic Iterative Adversarial Robustness Distillation ICCV 2025

Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers CVPR 2025

Aggregation Mechanism Based Graph Heterogeneous Networks Distillation IJCAI 2025

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

Boost Embodied AI Models with Robust Compression Boundary IJCAI 2025

General Compression Framework for Efficient Transformer Object Tracking ICCV 2025

Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors IJCAI 2025

FADA: Fast Diffusion Avatar Synthesis with Mixed-Supervised Multi-CFG Distillation CVPR 2025

Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization ICLR 2025

MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes ICCV 2025

EA-Vit: Efficient Adaptation for Elastic Vision Transformer ICCV 2025

KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models AAAI 2025

MSQ: Memory-Efficient Bit Sparsification Quantization ICCV 2025

EA-KD: Entropy-based Adaptive Knowledge Distillation ICCV 2025

GenPTQ: Green Post-Training Quantization for Large-Scale ASR Models with Mixed-Precision Bit Allocation EMNLP 2025

Accelerate 3D Object Detection Models via Zero-Shot Attention Key Pruning ICCV 2025

Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation AAAI 2025

Local Dense Logit Relations for Enhanced Knowledge Distillation ICCV 2025