Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention
for Sequence Modeling

Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling

31 January 2018

Papers citing "Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling"

12 / 12 papers shown

Title
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes Derya Soydaner 3DV 36 149 0 27 Apr 2022
A General Survey on Attention Mechanisms in Deep Learning Gianni Brauwers Flavius Frasincar 31 296 0 27 Mar 2022
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting Jiachen Li Fan Yang Hengbo Ma Srikanth Malla M. Tomizuka Chiho Choi 24 42 0 03 Aug 2021
Visual Entailment: A Novel Task for Fine-Grained Image Understanding Ning Xie Farley Lai Derek Doran Asim Kadav CoGe 31 321 0 20 Jan 2019
Dynamic Self-Attention : Computing Attention over Words Dynamically for Sentence Embedding Deunsol Yoon Dongbok Lee SangKeun Lee 11 43 0 22 Aug 2018
Enhancing Sentence Embedding with Generalized Pooling Qian Chen Zhenhua Ling Xiao-Dan Zhu 27 68 0 26 Jun 2018
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences Max Glockner Vered Shwartz Yoav Goldberg NAI 14 365 0 06 May 2018
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together Tao Shen Tianyi Zhou Guodong Long Jing Jiang Chengqi Zhang 37 14 0 02 May 2018
Dynamic Meta-Embeddings for Improved Sentence Representations Douwe Kiela Changhan Wang Kyunghyun Cho AI4TS 17 108 0 21 Apr 2018
Neural Semantic Encoders Tsendsuren Munkhdalai Hong-ye Yu 216 131 0 14 Jul 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 216 7,923 0 17 Aug 2015
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014