memory efficiency

Memory-Efficient LLM Training with Online Subspace Descent NeurIPS 2024 Memory-Efficient Reversible Spiking Neural Networks AAAI 2024 Memory-Efficient Sequential Pattern Mining with Hybrid Tries JMLR 2024 MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers NeurIPS 2024 MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence NeurIPS 2024 Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models NeurIPS 2024 Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping CVPR 2024 NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time ACL 2024 On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks ICLR 2024 Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models ACL 2024 Reducing Transformer Key-Value Cache Size with Cross-Layer Attention NeurIPS 2024 RepCNN: Micro-sized, Mighty Models for Wakeword Detection Interspeech 2024 REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates ICML 2024 RingAttention with Blockwise Transformers for Near-Infinite Context ICLR 2024 Sheared Backpropagation for Fine-tuning Foundation Models CVPR 2024 SnapKV: LLM Knows What You are Looking for Before Generation NeurIPS 2024 Stepping Forward on the Last Mile NeurIPS 2024 StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses NeurIPS 2024 The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics NAACL 2024 Thinking Forward: Memory-Efficient Federated Finetuning of Language Models NeurIPS 2024 Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024 TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices NeurIPS 2024 UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory CVPR 2024 Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression ACL 2024 Weight-Entanglement Meets Gradient-Based Neural Architecture Search AutoML 2024