Model Compression

Towards Better Structured Pruning Saliency by Reorganizing Convolution WACV 2024 Towards Meta-Pruning via Optimal Transport ICLR 2024 Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner CVPR 2024 Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers NeurIPS 2024 TroL: Traversal of Layers for Large Language and Vision Models EMNLP 2024 TueCICL at SemEval-2024 Task 8: Resource-efficient approaches for machine-generated text detection SemEval 2024 TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks NeurIPS 2024 Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024 Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data AAAI 2024 Understanding and Minimising Outlier Features in Transformer Training NeurIPS 2024 UniADS: Universal Architecture-Distiller Search for Distillation Gap AAAI 2024 UniPTS: A Unified Framework for Proficient Post-Training Sparsity CVPR 2024 United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories NeurIPS 2024 Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications EMNLP 2024 Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness NeurIPS 2024 Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance NeurIPS 2024 UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer AAAI 2024 UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond NeurIPS 2024 USDN: A Unified Sample-Wise Dynamic Network With Mixed-Precision and Early-Exit WACV 2024 Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training NeurIPS 2024 Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression JMLR 2024 VE-KD: Vocabulary-Expansion Knowledge-Distillation for Training Smaller Domain-Specific Language Models EMNLP 2024 Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification EMNLP 2024 VkD: Improving Knowledge Distillation using Orthogonal Projections CVPR 2024 VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding AAAI 2024