title

ENLSP NeurIPS Workshop 2024 | ENLSP highlights some fundamental problems in NLP and speech processing related to efficiency of the models, training and inference for the general ML and DL communities.

charset

utf-8

X-UA-Compatible

IE=edge

viewport

width=device-width, initial-scale=1

keywords

ENLSP2023, ENLSP III, enlsp iii, NLP, KD, knowledge distillation, workshop,natural language processing, deep learning, machine learning, neurips workshop, neurips workshop 2023, model compression, Efficient Natural Language and Speech Processing,tinyML,BERT,tinyBERT,roberta,distilRoberta,distilBERT,knowledge transfer,efficient knowledge transfer,speech,pre-trained language models,language models,GPT,GPT compression,optimization,speech processing,speech optimization,Multi-domain training,fast pre-training,multimodal,Efficient Training,Data Efficiency,Edge Intelligence,zero-shot learning,few-shot learning,data augumentation,NEURIPS,neurips 2023, NIPS

og:title

ENLSP NeurIPS Workshop 2024

og:locale

en_US

og:description

ENLSP highlights some fundamental problems in NLP and speech processing related to efficiency of the models, training and inference for the general ML and DL communities.

og:url

https://neurips2024-enlsp.github.io/

og:site_name

ENLSP NeurIPS Workshop 2024

twitter:card

summary

alternate

https://neurips2024-enlsp.github.io/feed.xml

canonical

https://neurips2024-enlsp.github.io/

preconnect

https://fonts.googleapis.com

preconnect

https://fonts.gstatic.com

stylesheet

https://cdn.jsdelivr.net/npm/[email protected]/font/bootstrap-icons.css