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Deep Sets

Deep Sets

10 March 2017
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
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Papers citing "Deep Sets"

50 / 1,441 papers shown
Title
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
Fei Sha
56
657
0
10 Dec 2018
Point-to-Pose Voting based Hand Pose Estimation using Residual
  Permutation Equivariant Layer
Point-to-Pose Voting based Hand Pose Estimation using Residual Permutation Equivariant Layer
Shile Li
Dongheui Lee
3DPC
16
75
0
05 Dec 2018
Learning to Sample
Learning to Sample
Oren Dovrat
Itai Lang
S. Avidan
3DPC
13
4
0
04 Dec 2018
SurfConv: Bridging 3D and 2D Convolution for RGBD Images
SurfConv: Bridging 3D and 2D Convolution for RGBD Images
Hang Chu
Wei-Chiu Ma
Kaustav Kundu
R. Urtasun
Sanja Fidler
MDE
29
24
0
04 Dec 2018
Set Cross Entropy: Likelihood-based Permutation Invariant Loss Function
  for Probability Distributions
Set Cross Entropy: Likelihood-based Permutation Invariant Loss Function for Probability Distributions
Masataro Asai
14
1
0
04 Dec 2018
Multiple Instance Learning for ECG Risk Stratification
Multiple Instance Learning for ECG Risk Stratification
Divya Shanmugam
Davis W. Blalock
John Guttag
11
13
0
02 Dec 2018
A Graph-CNN for 3D Point Cloud Classification
A Graph-CNN for 3D Point Cloud Classification
Yingxue Zhang
Michael G. Rabbat
3DPC
118
158
0
28 Nov 2018
Amortized Bayesian inference for clustering models
Amortized Bayesian inference for clustering models
Ari Pakman
Liam Paninski
12
6
0
24 Nov 2018
Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D
  Spherical Voxel Convolution
Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution
Yang You
Yujing Lou
Qi Liu
Yu-Wing Tai
Lizhuang Ma
Cewu Lu
Weiming Wang
3DPC
13
66
0
23 Nov 2018
Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN
Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN
Shiyi Lan
Ruichi Yu
Gang Yu
L. Davis
3DPC
19
140
0
19 Nov 2018
Stochastic Deep Networks
Stochastic Deep Networks
Gwendoline de Bie
Gabriel Peyré
Marco Cuturi
22
21
0
19 Nov 2018
Deep Determinantal Point Processes
Deep Determinantal Point Processes
Mike Gartrell
Elvis Dohmatob
Jon Alberdi
8
4
0
17 Nov 2018
Mining Entity Synonyms with Efficient Neural Set Generation
Mining Entity Synonyms with Efficient Neural Set Generation
Jiaming Shen
Ruiliang Lyu
Xiang Ren
M. Vanni
Brian M. Sadler
Jiawei Han
29
28
0
16 Nov 2018
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
Hanqing Chao
Yiwei He
Junping Zhang
Jianfeng Feng
CVBM
6
510
0
15 Nov 2018
Hallucinating Point Cloud into 3D Sculptural Object
Hallucinating Point Cloud into 3D Sculptural Object
Chun-Liang Li
Eunsu Kang
Songwei Ge
Lingyao Zhang
Austin Dill
Manzil Zaheer
Barnabás Póczós
3DPC
17
2
0
13 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for
  Variable-Size Inputs
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
R. Murphy
Balasubramaniam Srinivasan
Vinayak A. Rao
Yun Liang
18
188
0
05 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
27
23
0
26 Oct 2018
TarMAC: Targeted Multi-Agent Communication
TarMAC: Targeted Multi-Agent Communication
Abhishek Das
Théophile Gervet
Joshua Romoff
Dhruv Batra
Devi Parikh
Michael G. Rabbat
Joelle Pineau
22
378
0
26 Oct 2018
Hyperparameter Learning via Distributional Transfer
Hyperparameter Learning via Distributional Transfer
H. Law
P. Zhao
Lucian Chan
Junzhou Huang
Dino Sejdinovic
11
25
0
15 Oct 2018
Point Cloud GAN
Point Cloud GAN
Chun-Liang Li
Manzil Zaheer
Yang Zhang
Barnabás Póczós
Ruslan Salakhutdinov
3DPC
10
209
0
13 Oct 2018
Energy Flow Networks: Deep Sets for Particle Jets
Energy Flow Networks: Deep Sets for Particle Jets
Patrick T. Komiske
E. Metodiev
Jesse Thaler
PINN
3DPC
26
251
0
11 Oct 2018
Set Aggregation Network as a Trainable Pooling Layer
Set Aggregation Network as a Trainable Pooling Layer
Lukasz Maziarka
Marek Śmieja
A. Nowak
Jacek Tabor
Lukasz Struski
Przemysław Spurek
SSeg
FAtt
AI4TS
19
2
0
03 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
40
7,452
0
01 Oct 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant
  Neural Networks
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee
Yoonho Lee
Jungtaek Kim
Adam R. Kosiorek
Seungjin Choi
Yee Whye Teh
6
275
0
01 Oct 2018
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial
  VAE
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
Chao Ma
Sebastian Tschiatschek
Konstantina Palla
José Miguel Hernández-Lobato
Sebastian Nowozin
Cheng Zhang
14
127
0
28 Sep 2018
Sim-to-Real Transfer of Robot Learning with Variable Length Inputs
Sim-to-Real Transfer of Robot Learning with Variable Length Inputs
Vibhavari Dasagi
Robert Lee
Serena Mou
Jake Bruce
Niko Sünderhauf
Jurgen Leitner
OffRL
21
3
0
20 Sep 2018
Canonical and Compact Point Cloud Representation for Shape
  Classification
Canonical and Compact Point Cloud Representation for Shape Classification
Kent Fujiwara
Ikuro Sato
Mitsuru Ambai
Yuichi Yoshida
Yoshiaki Sakakura
3DPC
14
3
0
13 Sep 2018
A Deeper Look at 3D Shape Classifiers
A Deeper Look at 3D Shape Classifiers
Jong-Chyi Su
Matheus Gadelha
Rui Wang
Subhransu Maji
3DPC
3DV
8
101
0
07 Sep 2018
Discriminative Learning of Similarity and Group Equivariant
  Representations
Discriminative Learning of Similarity and Group Equivariant Representations
Shubhendu Trivedi
27
1
0
30 Aug 2018
One-Shot Relational Learning for Knowledge Graphs
One-Shot Relational Learning for Knowledge Graphs
Wenhan Xiong
Mo Yu
Shiyu Chang
Xiaoxiao Guo
William Yang Wang
18
215
0
27 Aug 2018
Term Set Expansion based NLP Architect by Intel AI Lab
Term Set Expansion based NLP Architect by Intel AI Lab
Jonathan Mamou
Oren Pereg
Moshe Wasserblat
Alon Eirew
Yael Green
Shira Guskin
Peter Izsak
Daniel Korat
VLM
9
25
0
27 Aug 2018
A survey on Deep Learning Advances on Different 3D Data Representations
A survey on Deep Learning Advances on Different 3D Data Representations
Eman Ahmed
Alexandre Saint
Abd El Rahman Shabayek
K. Cherenkova
Rig Das
Gleb Gusev
Djamila Aouada
Björn E. Ottersten
AI4TS
3DPC
25
95
0
04 Aug 2018
Geared Rotationally Identical and Invariant Convolutional Neural Network
  Systems
Geared Rotationally Identical and Invariant Convolutional Neural Network Systems
ShihChung B. Lo
Ph. D.
M. Freedman
M. D.
S. Mun
Ph. D.
H. Chan
Ph. D
14
4
0
03 Aug 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
23
138
0
02 Aug 2018
VFunc: a Deep Generative Model for Functions
VFunc: a Deep Generative Model for Functions
Philip Bachman
Riashat Islam
Alessandro Sordoni
Zafarali Ahmed
VLM
BDL
34
8
0
11 Jul 2018
Zero-shot Domain Adaptation without Domain Semantic Descriptors
Zero-shot Domain Adaptation without Domain Semantic Descriptors
Atsutoshi Kumagai
Tomoharu Iwata
VLM
31
13
0
09 Jul 2018
Domain2Vec: Deep Domain Generalization
Domain2Vec: Deep Domain Generalization
A. Deshmukh
Ankit Bansal
Akash Rastogi
ViT
OOD
11
5
0
09 Jul 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in
  Volumetric Data
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Maurice Weiler
Mario Geiger
Max Welling
Wouter Boomsma
Taco S. Cohen
3DPC
45
494
0
06 Jul 2018
Product-based Neural Networks for User Response Prediction over
  Multi-field Categorical Data
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
Yanru Qu
Bohui Fang
Weinan Zhang
Ruiming Tang
Minzhe Niu
Huifeng Guo
Yong Yu
Xiuqiang He
9
179
0
01 Jul 2018
Subject2Vec: Generative-Discriminative Approach from a Set of Image
  Patches to a Vector
Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector
Sumedha Singla
Biwei Huang
Siamak Ravanbakhsh
F. Sciurba
Barnabás Póczós
N. Batmanghelich
MedIm
11
19
0
28 Jun 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional
  Neural Network
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor
Zhen Lin
Shubhendu Trivedi
39
264
0
24 Jun 2018
Mixed batches and symmetric discriminators for GAN training
Mixed batches and symmetric discriminators for GAN training
Thomas Lucas
Corentin Tallec
Jakob Verbeek
Yann Ollivier
11
37
0
19 Jun 2018
Object Level Visual Reasoning in Videos
Object Level Visual Reasoning in Videos
Fabien Baradel
Natalia Neverova
Christian Wolf
J. Mille
Greg Mori
22
163
0
16 Jun 2018
Transformationally Identical and Invariant Convolutional Neural Networks
  through Symmetric Element Operators
Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators
S. Lo
M. Freedman
S. Mun
Shuo Gu
11
5
0
10 Jun 2018
Re-evaluating Evaluation
Re-evaluating Evaluation
David Balduzzi
K. Tuyls
Julien Perolat
T. Graepel
MoMe
16
97
0
07 Jun 2018
Multi-chart Generative Surface Modeling
Multi-chart Generative Surface Modeling
Heli Ben-Hamu
Haggai Maron
Itay Kezurer
G. Avineri
Y. Lipman
MedIm
29
75
0
06 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Adam R. Kosiorek
Hyunjik Kim
Ingmar Posner
Yee Whye Teh
BDL
29
256
0
05 Jun 2018
Embedding Logical Queries on Knowledge Graphs
Embedding Logical Queries on Knowledge Graphs
William L. Hamilton
Payal Bajaj
Marinka Zitnik
Dan Jurafsky
J. Leskovec
NAI
33
286
0
05 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
106
3,080
0
04 Jun 2018
Interpretable Set Functions
Interpretable Set Functions
Andrew Cotter
Maya R. Gupta
Heinrich Jiang
J. Muller
Taman Narayan
S. Wang
Tao Zhu
11
7
0
31 May 2018
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