model compression

DCP: Dual-Cue Pruning for Efficient Large Vision-Language Models EMNLP 2025 DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection AAAI 2025 Debiased Distillation for Consistency Regularization AAAI 2025 Decentralized Low-Rank Fine-Tuning of Large Language Models ACL 2025 Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks CVPR 2025 Decoupling Memories, Muting Neurons: Towards Practical Machine Unlearning for Large Language Models ACL 2025 DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge CVPR 2025 DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 2025 Demystifying Small Language Models for Edge Deployment ACL 2025 Dense2MoE: Restructuring Diffusion Transformer to MoE for Efficient Text-to-Image Generation ICCV 2025 DenseLoRA: Dense Low-Rank Adaptation of Large Language Models ACL 2025 DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models CVPR 2025 Difficulty Diversity and Plausibility: Dynamic Data-Free Quantization WACV 2025 Di[M]O: Distilling Masked Diffusion Models into One-step Generator ICCV 2025 DisLoRA: Task-specific Low-Rank Adaptation via Orthogonal Basis from Singular Value Decomposition EMNLP 2025 DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks ICLR 2025 Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation AAAI 2025 Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization AAAI 2025 DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models ACL 2025 DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers ICCV 2025 DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts ACL 2025 DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture CVPR 2025 DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization ICCV 2025 Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives ICLR 2025 Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study EMNLP 2025