model compression

DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations NeurIPS 2024 Dense Vision Transformer Compression with Few Samples CVPR 2024 DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning ICLR 2024 DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion NeurIPS 2024 Differentially Private Knowledge Distillation via Synthetic Text Generation ACL 2024 DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation NAACL 2024 DimA: A Parameter-efficient Fine-tuning Method with Knowledge Transfer Based on Transformer COLING 2024 Discovering Knowledge-Critical Subnetworks in Pretrained Language Models EMNLP 2024 Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models NeurIPS 2024 DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models NeurIPS 2024 Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation ACL 2024 Distilling Semantic Priors from SAM to Efficient Image Restoration Models CVPR 2024 DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models ACL 2024 DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition AAAI 2024 Diversity-aware Channel Pruning for StyleGAN Compression CVPR 2024 Divide-or-Conquer? Which Part Should You Distill Your LLM? EMNLP 2024 D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models NeurIPS 2024 DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model EMNLP 2024 DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models EMNLP 2024 Don't Look Twice: Faster Video Transformers with Run-Length Tokenization NeurIPS 2024 DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution ACL 2024 Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning CVPR 2024 Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding ACL 2024 DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? AAAI 2024 DTL: Disentangled Transfer Learning for Visual Recognition AAAI 2024