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GLoMo: Unsupervisedly Learned Relational Graphs as Transferable
  Representations
v1v2v3 (latest)

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations

14 June 2018
Zhilin Yang
Jiaqi Zhao
Bhuwan Dhingra
Kaiming He
William W. Cohen
Ruslan Salakhutdinov
Yann LeCun
ArXiv (abs)PDFHTML

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

14 / 14 papers shown
Title
Learning Sequence Representations by Non-local Recurrent Neural Memory
Learning Sequence Representations by Non-local Recurrent Neural Memory
Wenjie Pei
Xin Feng
Canmiao Fu
Qi Cao
Guangming Lu
Yu-Wing Tai
AI4TS
72
1
0
20 Jul 2022
Projection: A Mixed-Initiative Research Process
Projection: A Mixed-Initiative Research Process
Austin Silveria
26
0
0
09 Jan 2022
Learning to schedule job-shop problems: Representation and policy
  learning using graph neural network and reinforcement learning
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
60
219
0
02 Jun 2021
Multilevel Text Alignment with Cross-Document Attention
Multilevel Text Alignment with Cross-Document Attention
Xuhui Zhou
Nikolaos Pappas
Noah A. Smith
73
18
0
03 Oct 2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive
  Connection
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection
Xiaoya Li
Yuxian Meng
Mingxin Zhou
Qinghong Han
Leilei Gan
Jiwei Li
86
20
0
22 Mar 2020
Learning Dynamic Belief Graphs to Generalize on Text-Based Games
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
91
81
0
21 Feb 2020
Two-Headed Monster And Crossed Co-Attention Networks
Two-Headed Monster And Crossed Co-Attention Networks
Yaoyiran Li
Jing Jiang
62
0
0
10 Nov 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
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
AI4CEGNN
305
763
0
03 Sep 2019
Non-local Recurrent Neural Memory for Supervised Sequence Modeling
Non-local Recurrent Neural Memory for Supervised Sequence Modeling
Canmiao Fu
Wenjie Pei
Qiong Cao
Chaopeng Zhang
Yong Zhao
Xiaoyong Shen
Yu-Wing Tai
51
11
0
26 Aug 2019
Learning to Control Self-Assembling Morphologies: A Study of
  Generalization via Modularity
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
Deepak Pathak
Chris Xiaoxuan Lu
Trevor Darrell
Phillip Isola
Alexei A. Efros
53
135
0
14 Feb 2019
SpotTune: Transfer Learning through Adaptive Fine-tuning
SpotTune: Transfer Learning through Adaptive Fine-tuning
Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Simunic
Rogerio Feris
111
455
0
21 Nov 2018
Data-Efficient Graph Embedding Learning for PCB Component Detection
Data-Efficient Graph Embedding Learning for PCB Component Detection
Chia-Wen Kuo
Jacob Ashmore
David Huggins
Z. Kira
28
47
0
16 Nov 2018
A Simple Recurrent Unit with Reduced Tensor Product Representations
A Simple Recurrent Unit with Reduced Tensor Product Representations
Shuai Tang
P. Smolensky
V. D. Sa
90
2
0
29 Oct 2018
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
Guangneng Hu
Yu Zhang
Qiang Yang
94
415
0
18 Apr 2018
1