Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces

27 August 2020

Papers citing "Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces"

20 / 20 papers shown

Title
Structured Prediction with Partial Labelling through the Infimum Loss Vivien A. Cabannes Alessandro Rudi Francis R. Bach 59 40 0 02 Mar 2020
Differentiable Reasoning on Large Knowledge Bases and Natural Language Pasquale Minervini Matko Bovsnjak Tim Rocktaschel Sebastian Riedel Edward Grefenstette LRM 92 89 0 17 Dec 2019
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver Po-Wei Wang P. Donti Bryan Wilder Zico Kolter LRM NAI 50 262 0 29 May 2019
Neural Logic Machines Honghua Dong Jiayuan Mao Tian Lin Chong-Jun Wang Lihong Li Denny Zhou NAI LRM AI4CE 99 249 0 26 Apr 2019
Partial Label Learning with Self-Guided Retraining Lei Feng Bo An 21 128 0 08 Feb 2019
Reinforcement Learning for Relation Classification from Noisy Data Jun Feng Minlie Huang Li Zhao Yang Yang Xiaoyan Zhu NoLa 46 340 0 24 Aug 2018
Relational recurrent neural networks Adam Santoro Ryan Faulkner David Raposo Jack W. Rae Mike Chrzanowski T. Weber Daan Wierstra Oriol Vinyals Razvan Pascanu Timothy Lillicrap GNN 103 211 0 05 Jun 2018
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning Pengda Qin Weiran Xu William Yang Wang 33 219 0 24 May 2018
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis Rudy Bunel Matthew J. Hausknecht Jacob Devlin Rishabh Singh Pushmeet Kohli NAI 91 217 0 11 May 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 70 525 0 21 Feb 2018
Recurrent Relational Networks Rasmus Berg Palm Ulrich Paquet Ole Winther GNN ReLM NAI 80 139 0 21 Nov 2017
Prediction Under Uncertainty with Error-Encoding Networks Mikael Henaff Jiaqi Zhao Yann LeCun UQCV 31 25 0 14 Nov 2017
Learning Explanatory Rules from Noisy Data Richard Evans Edward Grefenstette 101 482 0 13 Nov 2017
A Deep Reinforced Model for Abstractive Summarization Romain Paulus Caiming Xiong R. Socher AI4TS 146 1,551 0 11 May 2017
RobustFill: Neural Program Learning under Noisy I/O Jacob Devlin J. Uesato Surya Bhupatiraju Rishabh Singh Abdel-rahman Mohamed Pushmeet Kohli 67 389 0 21 Mar 2017
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati Feifei Zhai Bowen Zhou 272 1,257 0 14 Nov 2016
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge Oriol Vinyals Alexander Toshev Samy Bengio D. Erhan 65 853 0 21 Sep 2016
Image Captioning with Semantic Attention Quanzeng You Hailin Jin Zhaowen Wang Chen Fang Jiebo Luo VLM 159 1,657 0 12 Mar 2016
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 280 20,491 0 10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 388 27,205 0 01 Sep 2014