model compression

AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2024 AFPQ: Asymmetric Floating Point Quantization for LLMs ACL 2024 A General Theoretical Framework for Learning Smallest Interpretable Models AAAI 2024 Agile Multi-Source-Free Domain Adaptation AAAI 2024 Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge AAAI 2024 ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers CVPR 2024 A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder IJCAI 2024 Aligning Logits Generatively for Principled Black-Box Knowledge Distillation CVPR 2024 All Rivers Run to the Sea: Private Learning with Asymmetric Flows CVPR 2024 AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality EMNLP 2024 AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models NeurIPS 2024 ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models NeurIPS 2024 AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment NeurIPS 2024 Anchor-based Large Language Models ACL 2024 AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries AAAI 2024 AS-ES Learning: Towards efficient CoT learning in small models ACL 2024 A Simple and Effective Pruning Approach for Large Language Models ICLR 2024 A Single Linear Layer Yields Task-Adapted Low-Rank Matrices COLING 2024 A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training NeurIPS 2024 A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning CVPR 2024 A Survey on Efficient Federated Learning Methods for Foundation Model Training IJCAI 2024 Asymmetric Masked Distillation for Pre-Training Small Foundation Models CVPR 2024 ATQ: Activation Transformation forWeight-Activation Quantization of Large Language Models EMNLP 2024 Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models CVPR 2024 Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch CVPR 2024