Co-occurring keywords · papers mentioning both
Papers
End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames
CVPR 2024
Expanding Sparse Tuning for Low Memory Usage
NeurIPS 2024
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
NeurIPS 2024
Fast Vector Query Processing for Large Datasets Beyond GPU Memory with Reordered Pipelining
NSDI 2024
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
NeurIPS 2024
Full Parameter Fine-tuning for Large Language Models with Limited Resources
ACL 2024
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
ICLR 2024
InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management
OSDI 2024
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
NeurIPS 2024
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models
EMNLP 2024
LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs
IJCAI 2024
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
ACL 2024
Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk
EMNLP 2024
Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training
NeurIPS 2024
NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time
ACL 2024
Pipeline Parallelism with Controllable Memory
NeurIPS 2024
PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference
ACL 2024
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
NeurIPS 2024
Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models
NeurIPS 2024
SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation
NeurIPS 2024
SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget
ACL 2024
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models
NeurIPS 2024
Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism
NeurIPS 2023
A fast heuristic to optimize time-space tradeoff for large models
NeurIPS 2023
A Survey on Efficient Training of Transformers
IJCAI 2023