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Order Matters: Sequence to sequence for sets

Order Matters: Sequence to sequence for sets

19 November 2015
Oriol Vinyals
Samy Bengio
M. Kudlur
    BDL
ArXivPDFHTML

Papers citing "Order Matters: Sequence to sequence for sets"

50 / 152 papers shown
Title
Efficient and Stable Graph Scattering Transforms via Pruning
Efficient and Stable Graph Scattering Transforms via Pruning
V. Ioannidis
Siheng Chen
G. Giannakis
28
11
0
27 Jan 2020
Learning Improvement Heuristics for Solving Routing Problems
Learning Improvement Heuristics for Solving Routing Problems
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
Andrew Lim
39
281
0
12 Dec 2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph
  Representations
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Ekagra Ranjan
Soumya Sanyal
Partha P. Talukdar
GNN
23
329
0
18 Nov 2019
Unsupervised Attributed Multiplex Network Embedding
Unsupervised Attributed Multiplex Network Embedding
Chanyoung Park
Donghyun Kim
Jiawei Han
Hwanjo Yu
32
249
0
15 Nov 2019
Hierarchical Graph Pooling with Structure Learning
Hierarchical Graph Pooling with Structure Learning
Zhen Zhang
Jiajun Bu
Martin Ester
Jianfeng Zhang
Chengwei Yao
Zhi Yu
Can Wang
30
174
0
14 Nov 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional
  Networks
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks
A. Mazari
H. Sahbi
GNN
32
5
0
15 Oct 2019
Set Functions for Time Series
Set Functions for Time Series
Max Horn
Michael Moor
Christian Bock
Bastian Alexander Rieck
Karsten M. Borgwardt
AI4TS
32
145
0
26 Sep 2019
Dependency-aware Attention Control for Unconstrained Face Recognition
  with Image Sets
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets
Xiaofeng Liu
B. Kumar
Chao Yang
Qingming Tang
J. You
CVBM
23
42
0
05 Jul 2019
Graph Representation Learning via Hard and Channel-Wise Attention
  Networks
Graph Representation Learning via Hard and Channel-Wise Attention Networks
Hongyang Gao
Shuiwang Ji
GNN
25
57
0
05 Jul 2019
Deep Set Prediction Networks
Deep Set Prediction Networks
Yan Zhang
Jonathon S. Hare
Adam Prugel-Bennett
22
107
0
15 Jun 2019
Utilizing Edge Features in Graph Neural Networks via Variational
  Information Maximization
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization
Pengfei Chen
Weiwen Liu
Chang-Yu Hsieh
Guangyong Chen
Shengyu Zhang
17
21
0
13 Jun 2019
Discrete Flows: Invertible Generative Models of Discrete Data
Discrete Flows: Invertible Generative Models of Discrete Data
Dustin Tran
Keyon Vafa
Kumar Krishna Agrawal
Laurent Dinh
Ben Poole
DRL
24
114
0
24 May 2019
Answering while Summarizing: Multi-task Learning for Multi-hop QA with
  Evidence Extraction
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction
Kosuke Nishida
Kyosuke Nishida
Masaaki Nagata
Atsushi Otsuka
Itsumi Saito
Hisako Asano
J. Tomita
RALM
19
102
0
21 May 2019
Improving Discrete Latent Representations With Differentiable
  Approximation Bridges
Improving Discrete Latent Representations With Differentiable Approximation Bridges
Jason Ramapuram
Russ Webb
DRL
19
9
0
09 May 2019
Graph Convolutional Networks with EigenPooling
Graph Convolutional Networks with EigenPooling
Yao Ma
Suhang Wang
Charu C. Aggarwal
Jiliang Tang
GNN
37
331
0
30 Apr 2019
Rep the Set: Neural Networks for Learning Set Representations
Rep the Set: Neural Networks for Learning Set Representations
Konstantinos Skianis
Giannis Nikolentzos
Stratis Limnios
Michalis Vazirgiannis
OCL
19
45
0
03 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
68
4,242
0
06 Mar 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their
  Embeddings and Back
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back
M. Simonovsky
BDL
GNN
29
1
0
24 Jan 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
163
8,362
0
03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
28
5,400
0
20 Dec 2018
Inverse Cooking: Recipe Generation from Food Images
Inverse Cooking: Recipe Generation from Food Images
Amaia Salvador
M. Drozdzal
Xavier Giró-i-Nieto
Adriana Romero
23
147
0
14 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
54
1,321
0
11 Dec 2018
EventNet: Asynchronous Recursive Event Processing
EventNet: Asynchronous Recursive Event Processing
Yusuke Sekikawa
K. Hara
Hideo Saito
56
98
0
07 Dec 2018
Deep Geometric Prior for Surface Reconstruction
Deep Geometric Prior for Surface Reconstruction
Francis Williams
T. Schneider
Claudio Silva
Denis Zorin
Joan Bruna
Daniele Panozzo
3DPC
19
190
0
27 Nov 2018
Learning and Interpreting Multi-Multi-Instance Learning Networks
Learning and Interpreting Multi-Multi-Instance Learning Networks
Alessandro Tibo
M. Jaeger
P. Frasconi
AI4CE
30
23
0
26 Oct 2018
Scalable Micro-planned Generation of Discourse from Structured Data
Scalable Micro-planned Generation of Discourse from Structured Data
Anirban Laha
Parag Jain
Abhijit Mishra
Karthik Sankaranarayanan
LMTD
23
25
0
05 Oct 2018
ResumeNet: A Learning-based Framework for Automatic Resume Quality
  Assessment
ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment
Yong Luo
Huaizheng Zhang
Yongjie Wang
Yonggang Wen
Xinwen Zhang
21
16
0
05 Oct 2018
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Irwan Bello
Sayali Kulkarni
Sagar Jain
Craig Boutilier
Ed H. Chi
Elad Eban
Xiyang Luo
Alan Mackey
Ofer Meshi
30
91
0
04 Oct 2018
Powerful, transferable representations for molecules through intelligent
  task selection in deep multitask networks
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks
Clyde Fare
Lukas Turcani
Edward O. Pyzer-Knapp
32
13
0
17 Sep 2018
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D
  Reconstruction
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
Bo Yang
Sen Wang
Andrew Markham
Niki Trigoni
3DPC
3DV
26
138
0
02 Aug 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
90
2,124
0
22 Jun 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural
  Networks
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Kun Xu
Lingfei Wu
Zhiguo Wang
Yansong Feng
Michael Witbrock
V. Sheinin
GNN
25
171
0
03 Apr 2018
Dual Attention Matching Network for Context-Aware Feature Sequence based
  Person Re-Identification
Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification
Jianlou Si
Honggang Zhang
Chun-Guang Li
Jason Kuen
Xiangfei Kong
Alex C. Kot
G. Wang
22
464
0
27 Mar 2018
Learning the Multiple Traveling Salesmen Problem with Permutation
  Invariant Pooling Networks
Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks
Yoav Kaempfer
Lior Wolf
24
71
0
26 Mar 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
28
1,175
0
22 Mar 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data
BRUNO: A Deep Recurrent Model for Exchangeable Data
I. Korshunova
Jonas Degrave
Ferenc Huszár
Y. Gal
Arthur Gretton
J. Dambre
BDL
24
33
0
21 Feb 2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Nathan Hilliard
Lawrence Phillips
Scott Howland
A. Yankov
Court D. Corley
Nathan Oken Hodas
SSL
36
158
0
12 Feb 2018
Reinforcement Learning for Solving the Vehicle Routing Problem
Reinforcement Learning for Solving the Vehicle Routing Problem
M. Nazari
Afshin Oroojlooy
L. Snyder
Martin Takáč
38
877
0
12 Feb 2018
Exploration on Generating Traditional Chinese Medicine Prescription from
  Symptoms with an End-to-End method
Exploration on Generating Traditional Chinese Medicine Prescription from Symptoms with an End-to-End method
Wei Li
Zheng Yang
Xu Sun
MedIm
LM&MA
24
26
0
27 Jan 2018
Joint Learning of Set Cardinality and State Distribution
Joint Learning of Set Cardinality and State Distribution
S. Hamid Rezatofighi
Anton Milan
Javen Qinfeng Shi
A. Dick
Ian Reid
SSL
BDL
32
16
0
13 Sep 2017
Content-Based Table Retrieval for Web Queries
Content-Based Table Retrieval for Web Queries
Zhao Yan
Duyu Tang
Nan Duan
Junwei Bao
Yuanhua Lv
Ming Zhou
Zhoujun Li
LMTD
19
21
0
08 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
86
7,314
0
04 Apr 2017
Learning to Remember Rare Events
Learning to Remember Rare Events
Lukasz Kaiser
Ofir Nachum
Aurko Roy
Samy Bengio
RALM
CLL
29
363
0
09 Mar 2017
Coordinated Multi-Agent Imitation Learning
Coordinated Multi-Agent Imitation Learning
Hoang Minh Le
Yisong Yue
Peter Carr
P. Lucey
31
187
0
09 Mar 2017
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
245
1,780
0
02 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,109
0
02 Dec 2016
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
71
1,456
0
29 Nov 2016
DeepSetNet: Predicting Sets with Deep Neural Networks
DeepSetNet: Predicting Sets with Deep Neural Networks
S. Hamid Rezatofighi
B. V. Kumar
Anton Milan
Ehsan Abbasnejad
A. Dick
Ian Reid
BDL
34
51
0
28 Nov 2016
Classify or Select: Neural Architectures for Extractive Document
  Summarization
Classify or Select: Neural Architectures for Extractive Document Summarization
Ramesh Nallapati
Bowen Zhou
Mingbo Ma
20
92
0
14 Nov 2016
Low Data Drug Discovery with One-shot Learning
Low Data Drug Discovery with One-shot Learning
Han Altae-Tran
Bharath Ramsundar
Aneesh S. Pappu
Vijay S. Pande
43
677
0
10 Nov 2016
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