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

29 / 129 papers shown
Title
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
159
8,356
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
5,396
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
21
147
0
14 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
39
1,320
0
11 Dec 2018
EventNet: Asynchronous Recursive Event Processing
EventNet: Asynchronous Recursive Event Processing
Yusuke Sekikawa
K. Hara
Hideo Saito
56
97
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
14
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
14
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
16
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
14
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
22
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
13
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
54
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
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
11
1,174
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
A. 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
31
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
30
873
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
21
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
27
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
14
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
25
7,312
0
04 Apr 2017
Learning to Remember Rare Events
Learning to Remember Rare Events
Lukasz Kaiser
Ofir Nachum
Aurko Roy
Samy Bengio
RALM
CLL
12
362
0
09 Mar 2017
Coordinated Multi-Agent Imitation Learning
Coordinated Multi-Agent Imitation Learning
Hoang Minh Le
Yisong Yue
Peter Carr
P. Lucey
25
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
172
1,778
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
14,103
0
02 Dec 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
15
92
0
14 Nov 2016
Divide and Conquer Networks
Divide and Conquer Networks
Alex W. Nowak
David Folqué
Joan Bruna
32
20
0
08 Nov 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
49
3,637
0
26 May 2016
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