memory efficiency

Consecutive Batch Model Editing with HooK Layers EMNLP 2024 Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement CVPR 2024 DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging NeurIPS 2024 DPZero: Private Fine-Tuning of Language Models without Backpropagation ICML 2024 Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning CVPR 2024 Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters NeurIPS 2024 Efficient Score Matching with Deep Equilibrium Layers ICLR 2024 Eigen Attention: Attention in Low-Rank Space for KV Cache Compression EMNLP 2024 Even Sparser Graph Transformers NeurIPS 2024 Fast and Memory-Efficient Video Diffusion Using Streamlined Inference NeurIPS 2024 FedMef: Towards Memory-efficient Federated Dynamic Pruning CVPR 2024 Fixed Point Diffusion Models CVPR 2024 FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning ICLR 2024 GES : Generalized Exponential Splatting for Efficient Radiance Field Rendering CVPR 2024 Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs ICLR 2024 HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy EMNLP 2024 Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models NeurIPS 2024 InfiniPot: Infinite Context Processing on Memory-Constrained LLMs EMNLP 2024 KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization NeurIPS 2024 KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization NeurIPS 2024 LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning NeurIPS 2024 Long-Context Language Modeling with Parallel Context Encoding ACL 2024 MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter ACL 2024 Memory-Efficient Fine-Tuning of Transformers via Token Selection EMNLP 2024 Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NeurIPS 2024