Model Compression

A Comprehensive Evaluation of Quantization Strategies for Large Language Models ACL 2024 AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models EMNLP 2024 AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs AAAI 2024 Adaptive Compression in Federated Learning via Side Information AISTATS 2024 Adaptive Deep Neural Network Inference Optimization With EENet WACV 2024 Adaptive Depth Networks with Skippable Sub-Paths NeurIPS 2024 A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques ACL 2024 Advancing Parameter Efficiency in Fine-tuning via Representation Editing ACL 2024 Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training AAAI 2024 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 Aligning Logits Generatively for Principled Black-Box Knowledge Distillation CVPR 2024 All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation NeurIPS 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 AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking NeurIPS 2024 AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment NeurIPS 2024 Anchor-based Large Language Models ACL 2024 An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models ACL 2024 ApiQ: Finetuning of 2-Bit Quantized Large Language Model EMNLP 2024 A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities AAAI 2024 AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries AAAI 2024 A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness JMLR 2024