2020. 7. 12. 10:33ㆍMachine Learning/NLP-UGRP
https://arxiv.org/abs/1503.08895
End-To-End Memory Networks
We introduce a neural network with a recurrent attention model over a possibly large external memory. The architecture is a form of Memory Network (Weston et al., 2015) but unlike the model in that work, it is trained end-to-end, and hence requires signifi
arxiv.org
Authors: Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus
Search | arXiv e-print repository
Showing 1–41 of 41 results for author: Fergus, R arXiv:2007.02879 [pdf, other] cs.LG cs.AI Fast Adaptation via Policy-Dynamics Value Functions Authors: Roberta Raileanu, Max Goldstein, Arthur Szlam, Rob Fergus Abstract: Standard RL algorithms assume
arxiv.org
[Abstract]
In this work, we present a novel recurrent neural network(RNN) architecture where the recurrence reads from a possibly large external memory multiple times before ouputting a symbol.
'Machine Learning > NLP-UGRP' 카테고리의 다른 글
| [논문정리] StyleNet: Generating Attractive Visual Captions with Styles (0) | 2020.07.13 |
|---|---|
| [논문 정리]Memory Networks (0) | 2020.07.12 |
| 데이터 전처리 (0) | 2020.07.07 |
| GloVe(글로브) 모델 (0) | 2020.07.05 |
| KoNLPy 기초 배우기 (0) | 2020.07.05 |