A Continuous Relaxation of Beam Search for End-to-end Training of Neural
Sequence Models

A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models

1 August 2017

Graham Neubig

Taylor Berg-Kirkpatrick

Papers citing "A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models"

11 / 11 papers shown

Title
Learning to Summarize Videos by Contrasting Clips Ivan Sosnovik A. Moskalev Cees Kaandorp A. Smeulders 14 0 0 12 Jan 2023
Differentiable Top-k Classification Learning Felix Petersen Hilde Kuehne Christian Borgelt Oliver Deussen 59 28 0 15 Jun 2022
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP Lifu Tu BDL 35 0 0 27 Aug 2021
Sparsifying Transformer Models with Trainable Representation Pooling Michal Pietruszka Łukasz Borchmann Lukasz Garncarek 20 10 0 10 Sep 2020
Natural Language Processing Advancements By Deep Learning: A Survey A. Torfi Rouzbeh A. Shirvani Yaser Keneshloo Nader Tavvaf Edward A. Fox AI4CE VLM 83 215 0 02 Mar 2020
Differentiable Top-k Operator with Optimal Transport Yujia Xie H. Dai Minshuo Chen Bo Dai T. Zhao H. Zha Wei Wei Tomas Pfister OT 32 27 0 16 Feb 2020
Neural Machine Translation: A Review and Survey Felix Stahlberg 3DV AI4TS MedIm 20 311 0 04 Dec 2019
Deep Learning Based Chatbot Models Richard Csaky 29 46 0 23 Aug 2019
Benchmarking Approximate Inference Methods for Neural Structured Prediction Lifu Tu Kevin Gimpel BDL 33 17 0 01 Apr 2019
A Fully Differentiable Beam Search Decoder R. Collobert Awni Y. Hannun Gabriel Synnaeve 17 40 0 16 Feb 2019
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,208 0 12 Jun 2017