GLoMo: Unsupervisedly Learned Relational Graphs as Transferable
Representations

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GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations

14 June 2018

William W. Cohen

Ruslan Salakhutdinov

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Papers citing "GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations"

17 / 17 papers shown

Title
Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach Zhi Zhang Minfu Li Lu Li Daoyi Chen 118 0 0 23 Mar 2025
Learning Sequence Representations by Non-local Recurrent Neural Memory Wenjie Pei Xin Feng Canmiao Fu Qi Cao Guangming Lu Yu-Wing Tai AI4TS 110 0 0 20 Jul 2022
Projection: A Mixed-Initiative Research Process Austin Silveria 53 0 0 09 Jan 2022
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning Junyoung Park J. Chun Sang Hun Kim Youngkook Kim Jinkyoo Park GNN 77 236 0 02 Jun 2021
Multilevel Text Alignment with Cross-Document Attention Xuhui Zhou Nikolaos Pappas Noah A. Smith 83 19 0 03 Oct 2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection Xiaoya Li Yuxian Meng Mingxin Zhou Qinghong Han Leilei Gan Jiwei Li 114 21 0 22 Mar 2020
Learning Dynamic Belief Graphs to Generalize on Text-Based Games Ashutosh Adhikari Xingdi Yuan Marc-Alexandre Côté M. Zelinka Marc-Antoine Rondeau Romain Laroche Pascal Poupart Jian Tang Adam Trischler William L. Hamilton AI4CE 143 85 0 21 Feb 2020
Two-Headed Monster And Crossed Co-Attention Networks Yaoyiran Li Jing Jiang 82 0 0 10 Nov 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jiaqi Zhao Haotong Zhang Alex Smola Jinyang Li Zheng Zhang AI4CE GNN 351 777 0 03 Sep 2019
Non-local Recurrent Neural Memory for Supervised Sequence Modeling Canmiao Fu Wenjie Pei Qiong Cao Chaopeng Zhang Yong Zhao Xiaoyong Shen Yu-Wing Tai 80 11 0 26 Aug 2019
IMHO Fine-Tuning Improves Claim Detection Tuhin Chakrabarty Christopher Hidey Kathleen McKeown 85 61 0 16 May 2019
SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities Diogo Pernes Jaime S. Cardoso 66 3 0 31 Mar 2019
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity Deepak Pathak Chris Xiaoxuan Lu Trevor Darrell Phillip Isola Alexei A. Efros 112 140 0 14 Feb 2019
SpotTune: Transfer Learning through Adaptive Fine-tuning Yunhui Guo Humphrey Shi Abhishek Kumar Kristen Grauman Tajana Simunic Rogerio Feris 173 468 0 21 Nov 2018
Data-Efficient Graph Embedding Learning for PCB Component Detection Chia-Wen Kuo Jacob Ashmore David Huggins Z. Kira 82 49 0 16 Nov 2018
A Simple Recurrent Unit with Reduced Tensor Product Representations Shuai Tang P. Smolensky V. D. Sa 128 2 0 29 Oct 2018
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation Guangneng Hu Yu Zhang Qiang Yang 140 440 0 18 Apr 2018