model compression

Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner NeurIPS 2024 TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale NAACL 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 Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024 UltraSparseBERT: 99% Conditionally Sparse Language Modelling ACL 2024 Uncovering the Redundancy in Graph Self-supervised Learning Models NeurIPS 2024 Understanding and Minimising Outlier Features in Transformer Training NeurIPS 2024 Understanding the Role of the Projector in Knowledge Distillation AAAI 2024 UniADS: Universal Architecture-Distiller Search for Distillation Gap AAAI 2024 UniPTS: A Unified Framework for Proficient Post-Training Sparsity CVPR 2024 Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection CVPR 2024 Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression ACL 2024 Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding ACL 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 VE-KD: Vocabulary-Expansion Knowledge-Distillation for Training Smaller Domain-Specific Language Models EMNLP 2024 VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch AAAI 2024 VeXKD: The Versatile Integration of Cross-Modal Fusion and Knowledge Distillation for 3D Perception NeurIPS 2024 Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model NeurIPS 2024 Visual Editing with LLM-based Tool Chaining: An Efficient Distillation Approach for Real-Time Applications 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