Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,439 papers shown

Title
Going Deeper with Lean Point Networks Eric-Tuan Lê Iasonas Kokkinos Niloy J. Mitra 3DPC 16 6 0 01 Jul 2019
SetGAN: Improving the stability and diversity of generative models through a permutation invariant architecture Alessandro Ferrero Shireen Elhabian Ross T. Whitaker GAN 13 0 0 28 Jun 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Zekun Hao Ming-Yu Liu Serge J. Belongie Bharath Hariharan 3DPC 11 654 0 28 Jun 2019
Flexible SVBRDF Capture with a Multi-Image Deep Network Valentin Deschaintre M. Aittala F. Durand G. Drettakis Adrien Bousseau 11 114 0 27 Jun 2019
Learning Set-equivariant Functions with SWARM Mappings Roland Vollgraf 8 3 0 22 Jun 2019
Embedding models for recommendation under contextual constraints Syrine Krichene Mike Gartrell Clément Calauzènes 6 2 0 21 Jun 2019
On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks Masoumeh Shafieinejad Jiaqi Wang Nils Lukas Xinda Li Florian Kerschbaum AAML 17 8 0 18 Jun 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima Jonathan Gordon J. Bronskill Sebastian Nowozin Richard E. Turner 16 240 0 18 Jun 2019
Deep Set Prediction Networks Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 17 107 0 15 Jun 2019
Predicting Choice with Set-Dependent Aggregation Nir Rosenfeld Kojin Oshiba Yaron Singer 12 16 0 14 Jun 2019
Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach D. Tam Wing Cheong Lau Bin Hu Qiufang Ying D. Chiu Hong Liu GNN 14 21 0 13 Jun 2019
Neural Networks on Groups Stella Biderman 22 1 0 13 Jun 2019
Representation Learning for Words and Entities Pushpendre Rastogi SSL 17 0 0 12 Jun 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 8 489 0 11 Jun 2019
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer E. Choi Zhen Xu Yujia Li Michael W. Dusenberry Gerardo Flores Yuan Xue Andrew M. Dai MedIm 14 237 0 11 Jun 2019
Write, Execute, Assess: Program Synthesis with a REPL Kevin Ellis Maxwell Nye Yewen Pu Felix Sosa J. Tenenbaum Armando Solar-Lezama 14 166 0 09 Jun 2019
FSPool: Learning Set Representations with Featurewise Sort Pooling Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 17 75 0 06 Jun 2019
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks Alireza Abedin Varamin S. Hamid Rezatofighi Javen Qinfeng Shi D. Ranasinghe 17 21 0 06 Jun 2019
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings Jean-François Ton Lucian Chan Yee Whye Teh Dino Sejdinovic 11 12 0 05 Jun 2019
Approximation capability of neural networks on spaces of probability measures and tree-structured domains Tomás Pevný Vojtěch Kovařík 11 14 0 03 Jun 2019
Topological Autoencoders Michael Moor Max Horn Bastian Alexander Rieck Karsten M. Borgwardt 19 145 0 03 Jun 2019
Discriminative structural graph classification Younjoo Seo Andreas Loukas Nathanael Perraudin 22 19 0 31 May 2019
What Can Neural Networks Reason About? Keyulu Xu Jingling Li Mozhi Zhang S. Du Ken-ichi Kawarabayashi Stefanie Jegelka NAI AI4CE 14 239 0 30 May 2019
One-element Batch Training by Moving Window P. Spurek Szymon Knop Jacek Tabor Igor T. Podolak B. Wójcik VLM 14 0 0 30 May 2019
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks Haebeom Lee Hayeon Lee Donghyun Na Saehoon Kim Minseop Park Eunho Yang S. Hwang BDL OODD 12 106 0 30 May 2019
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 19 29 0 28 May 2019
OrderNet: Ordering by Example R. Porter OffRL 6 0 0 27 May 2019
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 18 445 0 27 May 2019
Incidence Networks for Geometric Deep Learning Marjan Albooyeh Daniele Bertolini Siamak Ravanbakhsh GNN 13 26 0 27 May 2019
Learning by stochastic serializations Pablo Strasser S. Armand Stéphane Marchand-Maillet Alexandros Kalousis 14 0 0 27 May 2019
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 17 562 0 27 May 2019
Dataset2Vec: Learning Dataset Meta-Features H. Jomaa Lars Schmidt-Thieme Josif Grabocka SSL 9 61 0 27 May 2019
Graph Filtration Learning Christoph Hofer Florian Graf Bastian Alexander Rieck Marc Niethammer Roland Kwitt 14 96 0 27 May 2019
Differentiable Representations For Multihop Inference Rules William W. Cohen Haitian Sun R. A. Hofer M. Siegler 9 2 0 24 May 2019
Learning Surrogate Losses Josif Grabocka Randolf Scholz Lars Schmidt-Thieme 20 41 0 24 May 2019
Bayesian Optimization with Approximate Set Kernels Jungtaek Kim M. McCourt Tackgeun You Saehoon Kim Seungjin Choi 11 8 0 23 May 2019
Learning Video Representations from Correspondence Proposals Xingyu Liu Joon-Young Lee Hailin Jin 24 63 0 20 May 2019
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing Chaitanya Kaul Nick E. Pears S. Manandhar 3DPC 19 14 0 18 May 2019
Automatic Posterior Transformation for Likelihood-Free Inference David S. Greenberg M. Nonnenmacher Jakob H. Macke 6 316 0 17 May 2019
Kernel Mean Matching for Content Addressability of GANs Wittawat Jitkrittum Patsorn Sangkloy Muhammad Waleed Gondal Amit Raj James Hays Bernhard Schölkopf GAN BDL 19 9 0 14 May 2019
Universal Invariant and Equivariant Graph Neural Networks Nicolas Keriven Gabriel Peyré 13 284 0 13 May 2019
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification Ting-Li Chen Song Bian Yizhou Sun 11 88 0 11 May 2019
Deep Closest Point: Learning Representations for Point Cloud Registration Yue Wang Justin Solomon 3DPC 20 837 0 08 May 2019
Object Exchangeability in Reinforcement Learning: Extended Abstract John Mern Dorsa Sadigh Mykel Kochenderfer OCL 14 1 0 07 May 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects Yujia Li Chenjie Gu T. Dullien Oriol Vinyals Pushmeet Kohli 63 509 0 29 Apr 2019
Simulating Execution Time of Tensor Programs using Graph Neural Networks Jakub M. Tomczak Romain Lepert Auke Wiggers GNN 11 5 0 26 Apr 2019
Weakly Supervised Instance Learning for Thyroid Malignancy Prediction from Whole Slide Cytopathology Images D. Dov S. Kovalsky Serge Assaad Jonathan Cohen D. Range Ricardo Henao Lawrence Carin 24 10 0 26 Apr 2019
Deep Q-Learning for Nash Equilibria: Nash-DQN P. Casgrain Brian Ning S. Jaimungal 11 32 0 23 Apr 2019
LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds Chun-Liang Li Tomas Simon Jason M. Saragih Barnabás Póczós Yaser Sheikh 3DPC 14 40 0 22 Apr 2019
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures Mathieu Carrière Frédéric Chazal Yuichi Ike Théo Lacombe Martin Royer Yuhei Umeda 12 175 0 20 Apr 2019