model compression

Lightweight Zero-shot Text-to-Speech with Mixture of Adapters Interspeech 2024 Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models NeurIPS 2024 LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization IJCAI 2024 Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection EMNLP 2024 LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment NeurIPS 2024 LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit EMNLP 2024 LLM in a flash: Efficient Large Language Model Inference with Limited Memory ACL 2024 LLMR: Knowledge Distillation with a Large Language Model-Induced Reward COLING 2024 Logit Standardization in Knowledge Distillation CVPR 2024 LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models COLING 2024 Look-Up Table Compression for Efficient Image Restoration CVPR 2024 LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters EMNLP 2024 LoRA-GA: Low-Rank Adaptation with Gradient Approximation NeurIPS 2024 LoRA Meets Dropout under a Unified Framework ACL 2024 LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning ACL 2024 LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning EMNLP 2024 LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models NAACL 2024 LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking CVPR 2024 Low Precision Local Training is Enough for Federated Learning NeurIPS 2024 Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs CVPR 2024 Low-Rank Prune-And-Factorize for Language Model Compression COLING 2024 Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach CVPR 2024 LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning ICLR 2024 LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models ACL 2024 LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing NeurIPS 2024