Latent Alignment and Variational Attention

Latent Alignment and Variational Attention

10 July 2018

Alexander M. Rush

Papers citing "Latent Alignment and Variational Attention"

18 / 18 papers shown

Title
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion Chao-Hong Tan Jia-Chen Gu Zhen-Hua Ling DiffM 25 0 0 19 May 2023
Inducing and Using Alignments for Transition-based AMR Parsing Andrew Drozdov Jiawei Zhou Radu Florian Andrew McCallum Tahira Naseem Yoon Kim Ramón Fernández Astudillo 26 27 0 03 May 2022
Neural Processes with Stochastic Attention: Paying more attention to the context dataset Mingyu Kim Kyeongryeol Go Se-Young Yun 16 20 0 11 Apr 2022
Precognition in Task-oriented Dialogue Understanding: Posterior Regularization by Future Context Nan Su Yuchi Zhang Chao Liu Bingzhu Du Yongliang Wang 11 0 0 07 Mar 2022
Towards Controllable Agent in MOBA Games with Generative Modeling Shubao Zhang 32 0 0 15 Dec 2021
Pathologies in priors and inference for Bayesian transformers Tristan Cinquin Alexander Immer Max Horn Vincent Fortuin UQCV BDL MedIm 29 9 0 08 Oct 2021
Sequence-to-Sequence Learning with Latent Neural Grammars Yoon Kim 27 40 0 02 Sep 2021
Probabilistic Attention for Interactive Segmentation Prasad Gabbur Manjot Bilkhu J. Movellan 24 13 0 23 Jun 2021
Discrete Auto-regressive Variational Attention Models for Text Modeling Xianghong Fang Haoli Bai Jian Li Zenglin Xu Michael Lyu Irwin King 27 3 0 16 Jun 2021
A study of latent monotonic attention variants Albert Zeyer Ralf Schluter Hermann Ney 8 5 0 30 Mar 2021
Contextual Dropout: An Efficient Sample-Dependent Dropout Module Xinjie Fan Shujian Zhang Korawat Tanwisuth Xiaoning Qian Mingyuan Zhou OOD BDL UQCV 19 27 0 06 Mar 2021
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue Byeongchang Kim Jaewoo Ahn Gunhee Kim BDL 33 167 0 18 Feb 2020
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 14 287 0 15 May 2019
Classical Structured Prediction Losses for Sequence to Sequence Learning Sergey Edunov Myle Ott Michael Auli David Grangier MarcÁurelio Ranzato AIMat 48 185 0 14 Nov 2017
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 219 201 0 06 Jul 2017
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 210 1,207 0 12 Jun 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,740 0 26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,923 0 17 Aug 2015