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1703.06114
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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 / 1,555 papers shown
ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN
Conference on Computational Natural Language Learning (CoNLL), 2020
David Samuel
Milan Straka
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124
33
0
02 Nov 2020
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks
Computer Vision and Pattern Recognition (CVPR), 2020
Hang Zhou
Dongdong Chen
Jing Liao
Weiming Zhang
Kejiang Chen
Xiaoyi Dong
Kunlin Liu
G. Hua
Nenghai Yu
3DPC
216
120
0
01 Nov 2020
All-Weather Object Recognition Using Radar and Infrared Sensing
Marcel Sheeny
174
1
0
30 Oct 2020
PersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction
Nicolas Swenson
Aditi S. Krishnapriyan
A. Buluç
Dmitriy Morozov
Katherine Yelick
152
19
0
30 Oct 2020
On Graph Neural Networks versus Graph-Augmented MLPs
International Conference on Learning Representations (ICLR), 2020
Lei Chen
Zhengdao Chen
Joan Bruna
241
48
0
28 Oct 2020
Deep Networks from the Principle of Rate Reduction
Kwan Ho Ryan Chan
Yaodong Yu
Chong You
Haozhi Qi
John N. Wright
Yi-An Ma
193
22
0
27 Oct 2020
Regularizing Towards Permutation Invariance in Recurrent Models
Neural Information Processing Systems (NeurIPS), 2020
Edo Cohen-Karlik
Avichai Ben David
Amir Globerson
OOD
194
21
0
25 Oct 2020
Learning Guidance Rewards with Trajectory-space Smoothing
Neural Information Processing Systems (NeurIPS), 2020
Tanmay Gangwani
Yuanshuo Zhou
Jian Peng
162
43
0
23 Oct 2020
Predicting Infectiousness for Proactive Contact Tracing
International Conference on Learning Representations (ICLR), 2020
Yoshua Bengio
Prateek Gupta
Tegan Maharaj
Nasim Rahaman
Martin Weiss
...
Irina Rish
Bernhard Schölkopf
Abhinav Sharma
Jian Tang
Andrew Robert Williams
211
15
0
23 Oct 2020
Accelerating Metropolis-Hastings with Lightweight Inference Compilation
Feynman T. Liang
Nimar S. Arora
N. Tehrani
Y. Li
Michael Tingley
E. Meijer
166
0
0
23 Oct 2020
On the Number of Linear Functions Composing Deep Neural Network: Towards a Refined Definition of Neural Networks Complexity
Yuuki Takai
Akiyoshi Sannai
Matthieu Cordonnier
282
4
0
23 Oct 2020
Scene-Agnostic Multi-Microphone Speech Dereverberation
Yochai Yemini
Ethan Fetaya
Haggai Maron
Sharon Gannot
280
8
0
22 Oct 2020
Factorized Neural Processes for Neural Processes:
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K
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R. J. Cotton
Fabian H. Sinz
A. Tolias
98
8
0
22 Oct 2020
Deep Surrogate Q-Learning for Autonomous Driving
M. Kalweit
Gabriel Kalweit
M. Werling
Joschka Boedecker
OffRL
236
7
0
21 Oct 2020
Probabilistic Numeric Convolutional Neural Networks
International Conference on Learning Representations (ICLR), 2020
Marc Finzi
Roberto Bondesan
Max Welling
BDL
AI4TS
216
13
0
21 Oct 2020
Sparse Gaussian Process Variational Autoencoders
Matthew Ashman
Jonathan So
Will Tebbutt
Vincent Fortuin
Michael Pearce
Richard Turner
300
36
0
20 Oct 2020
Improving Transformation Invariance in Contrastive Representation Learning
International Conference on Learning Representations (ICLR), 2020
Adam Foster
Rattana Pukdee
Tom Rainforth
251
25
0
19 Oct 2020
Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks
M. Fenton
Alexander Shmakov
Ta-Wei Ho
S. Hsu
D. Whiteson
Pierre Baldi
226
43
0
19 Oct 2020
MaskNet: A Fully-Convolutional Network to Estimate Inlier Points
International Conference on 3D Vision (3DV), 2020
Vinit Sarode
Animesh Dhagat
Rangaprasad Arun Srivatsan
N. Zevallos
Simon Lucey
Howie Choset
3DPC
174
34
0
19 Oct 2020
Learning Robust Algorithms for Online Allocation Problems Using Adversarial Training
Goran Zuzic
Di Wang
Aranyak Mehta
D. Sivakumar
AAML
OOD
65
8
0
16 Oct 2020
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning
IEEE Robotics and Automation Letters (RA-L), 2020
C. de Souza
Rhys Newbury
Akansel Cosgun
P. Castillo
B. Vidolov
Dana Kulić
240
120
0
16 Oct 2020
Function Contrastive Learning of Transferable Meta-Representations
Muhammad Waleed Gondal
S. Joshi
Nasim Rahaman
Stefan Bauer
Manuel Wüthrich
Bernhard Schölkopf
SSL
192
21
0
14 Oct 2020
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
Nahid Parvez Farazi
T. Ahamed
Limon Barua
Bo Zou
AI4TS
159
20
0
13 Oct 2020
Towards Expressive Graph Representation
Chengsheng Mao
Liang Yao
Yuan Luo
273
3
0
12 Oct 2020
A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds
Mohammad Arshad
William J. Beksi
3DPC
192
25
0
12 Oct 2020
Efficient Long-Range Convolutions for Point Clouds
Yifan Peng
Lin Lin
Lexing Ying
Leonardo Zepeda-Núnez
3DPC
101
8
0
11 Oct 2020
Few-shot Learning for Spatial Regression
Machine-mediated learning (ML), 2020
Tomoharu Iwata
Yusuke Tanaka
283
12
0
09 Oct 2020
Set Prediction without Imposing Structure as Conditional Density Estimation
International Conference on Learning Representations (ICLR), 2020
David W. Zhang
Gertjan J. Burghouts
Cees G. M. Snoek
207
18
0
08 Oct 2020
Parameter Estimation using Neural Networks in the Presence of Detector Effects
Anders Andreassen
S. Hsu
Benjamin Nachman
Natchanon Suaysom
Adithya Suresh
292
15
0
07 Oct 2020
Scalable Normalizing Flows for Permutation Invariant Densities
Marin Bilos
Stephan Günnemann
TPM
207
27
0
07 Oct 2020
Channel Recurrent Attention Networks for Video Pedestrian Retrieval
Pengfei Fang
Pan Ji
Jieming Zhou
L. Petersson
Mehrtash Harandi
VOS
148
1
0
07 Oct 2020
On the Universality of Rotation Equivariant Point Cloud Networks
International Conference on Learning Representations (ICLR), 2020
Nadav Dym
Haggai Maron
3DPC
361
93
0
06 Oct 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
International Conference on Learning Representations (ICLR), 2020
Michael Schlichtkrull
Nicola De Cao
Ivan Titov
AI4CE
568
230
0
01 Oct 2020
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases
AAAI Conference on Artificial Intelligence (AAAI), 2020
Chris Wendler
Andisheh Amrollahi
B. Seifert
Andreas Krause
Markus Püschel
298
9
0
01 Oct 2020
Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control
Jiqian Dong
Sikai Chen
Yujie Li
Runjia Du
Aaron Steinfeld
Samuel Labi
176
11
0
30 Sep 2020
StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks
G. Tong
116
14
0
29 Sep 2020
Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks and Autoregressive Policy Decomposition
Jaromír Janisch
Tomávs Pevný
Viliam Lisý
AI4CE
366
4
0
25 Sep 2020
What if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus
Yonatan Bilu
Shai Gretz
Edo Cohen
Noam Slonim
110
2
0
17 Sep 2020
Deep Momentum Uncertainty Hashing
Pattern Recognition (Pattern Recognit.), 2020
Chaoyou Fu
Guoli Wang
Xiang Wu
Qian Zhang
Ran He
300
17
0
17 Sep 2020
Efficient Transformers: A Survey
ACM Computing Surveys (ACM CSUR), 2020
Yi Tay
Mostafa Dehghani
Dara Bahri
Donald Metzler
VLM
839
1,344
0
14 Sep 2020
Finite Group Equivariant Neural Networks for Games
Oisín Carroll
Joeran Beel
108
1
0
10 Sep 2020
Map-Adaptive Goal-Based Trajectory Prediction
Conference on Robot Learning (CoRL), 2020
Lingyao Zhang
PoHao Su
Jerrick Hoang
G. C. Haynes
Micol Marchetti-Bowick
191
60
0
09 Sep 2020
Graph neural networks-based Scheduler for Production planning problems using Reinforcement Learning
Journal of manufacturing systems (JMS), 2020
Mohammed Sharafath Abdul Hameed
Andreas Schwung
97
35
0
08 Sep 2020
A Survey on Machine Learning from Few Samples
Pattern Recognition (Pattern Recognit.), 2020
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
319
76
0
06 Sep 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
Pan Li
Yanbang Wang
Hongwei Wang
J. Leskovec
GNN
506
13
0
31 Aug 2020
TabSim: A Siamese Neural Network for Accurate Estimation of Table Similarity
Maryam Habibi
J. Starlinger
Ulf Leser
LMTD
236
12
0
25 Aug 2020
Jet Flavour Classification Using DeepJet
E. Bols
J. Kieseler
M. Verzetti
M. Stoye
A. Stakia
BDL
VLM
98
168
0
24 Aug 2020
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective
Steven Cheng-Xian Li
Benjamin M. Marlin
AI4TS
140
70
0
17 Aug 2020
MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation
Xiaoyi Chen
Pratik Chaudhari
364
5
0
17 Aug 2020
A Functional Perspective on Learning Symmetric Functions with Neural Networks
Aaron Zweig
Joan Bruna
383
23
0
16 Aug 2020
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