Memory Efficient Online Meta LearningDurmus Alp Emre AcarRuizhao ZhuVenkatesh SaligramaPMLRInternational Conference on Machine Learning
Meta learning approaches to few-shot classification are computationally efficient at test time requiring just a few optimization steps or single forward pass to learn a new task, but they remain highly memory-intensive to train. This limitation arises because a task’s entire support set, which ...
MEGAHIT is an ultra-fast and memory-efficient NGS assembler. It is optimized for metagenomes, but also works well on generic single genome assembly (small or mammalian size) and single-cell assembly. Installation Conda conda install -c bioconda megahit Guix guix install megahit Pre-built binari...
Efficient management of attention key and value memory withPagedAttention Continuous batching of incoming requests Fast model execution with CUDA/HIP graph Quantizations:GPTQ,AWQ, INT4, INT8, and FP8. Optimized CUDA kernels, including integration with FlashAttention and FlashInfer. ...
Less efficient memory suppression after consolidation Next, we examined the effectiveness of memory suppression after overnight consolidation compared with newly acquired memories. Note that the type of effectiveness under consideration is referred to the mnemonic aftereffects of suppression. A 2-by-2 ANO...
(Fig.5), suggest that multiple engram cell ensembles distributed across the brain contribute to the efficient and specific natural memory retrieval process. Although the optogenetic reactivation of an individual engram cell ensemble results in significant levels of memory recall4, the reactivation under ...
Especially given combined superior task performance and higher tCDA amplitudes in somatosensory regions of participants who are blind, the efficient activation of relevant sensory areas seems to be crucial for somatosensory memory tasks. In particular, high (negative) tCDA amplitudes in the somatosensory...
Efficient management of attention key and value memory withPagedAttention Continuous batching of incoming requests Fast model execution with CUDA/HIP graph Quantizations:GPTQ,AWQ, INT4, INT8, and FP8. Optimized CUDA kernels, including integration with FlashAttention and FlashInfer. ...
This repository contains the source code for the paper Efficient Regional Memory Network for Video Object Segmentation. Cite this work @inproceedings{xie2021efficient, title={Efficient Regional Memory Network for Video Object Segmentation}, author={Xie, Haozhe and Yao, Hongxun and Zhou, Shangchen and...
Mental health problems related to chronic stress in workers appear to be sex-specific. Psychosocial factors related to work–life balance partly explain these sex differences. In addition, physiological markers of stress can provide critical information