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

MSQ: Memory-Efficient Bit Sparsification Quantization ICCV 2025

LLaVA-KD: A Framework of Distilling Multimodal Large Language Models ICCV 2025

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

Dense2MoE: Restructuring Diffusion Transformer to MoE for Efficient Text-to-Image Generation ICCV 2025

Towards Privacy-preserved Pre-training of Remote Sensing Foundation Models with Federated Mutual-guidance Learning ICCV 2025

LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation ICCV 2025

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

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

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

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

Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation ICCV 2025

EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception ICCV 2025

Perspective-Aware Teaching: Adapting Knowledge for Heterogeneous Distillation ICCV 2025

Scheduling Weight Transitions for Quantization-Aware Training ICCV 2025

FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance ICCV 2025

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning ICCV 2025

Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts ICCV 2025

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

An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing AAAI 2025

Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation AAAI 2025

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

Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues AAAI 2025

LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation EMNLP 2025

Adaptive Dual Guidance Knowledge Distillation AAAI 2025

ELMGS: Enhancing Memory and Computation Scalability through Compression for 3D Gaussian Splatting WACV 2025