Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,439 papers shown

Title
Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking Rama Kumar Pasumarthi Xuanhui Wang Michael Bendersky Marc Najork 21 17 0 21 Oct 2019
CorrGAN: Sampling Realistic Financial Correlation Matrices Using Generative Adversarial Networks Gautier Marti GAN 8 44 0 21 Oct 2019
Optimization Hierarchy for Fair Statistical Decision Problems A. Aswani Matt Olfat 21 3 0 18 Oct 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L. Zintgraf K. Shiarlis Maximilian Igl Sebastian Schulze Y. Gal Katja Hofmann Shimon Whiteson OffRL 6 272 0 18 Oct 2019
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure Tony Duan Juho Lee GNN BDL CML 14 2 0 17 Oct 2019
Forecast Evaluation of Quantiles, Prediction Intervals, and other Set-Valued Functionals Tobias Fissler Rafael M. Frongillo Jana Hlavinová Birgit Rudloff 14 18 0 16 Oct 2019
Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces Akiyoshi Sannai Masaaki Imaizumi M. Kawano MLT 20 29 0 15 Oct 2019
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks Takanori Maehara Hoang NT 19 29 0 09 Oct 2019
Irregular Convolutional Auto-Encoder on Point Clouds Yuhui Zhang G. Gutmann Konagaya Akihiko 3DPC 20 2 0 07 Oct 2019
Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs Josh Payne GNN 14 24 0 07 Oct 2019
On Universal Equivariant Set Networks Nimrod Segol Y. Lipman 3DPC 17 63 0 06 Oct 2019
Predicting materials properties without crystal structure: Deep representation learning from stoichiometry Rhys E. A. Goodall A. Lee 11 252 0 01 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 17 27 0 01 Oct 2019
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs Gengchen Mai K. Janowicz Bo Yan Rui Zhu Ling Cai Ni Lao 13 15 0 30 Sep 2019
IPC-Net: 3D point-cloud segmentation using deep inter-point convolutional layers F. Marulanda Pieter J. K. Libin T. Verstraeten A. Nowé 3DPC 14 4 0 30 Sep 2019
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving M. Huegle Gabriel Kalweit M. Werling Joschka Boedecker 3DPC 19 37 0 30 Sep 2019
ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning Martin Royer Frédéric Chazal Clément Levrard Yuhei Umeda Yuichi Ike 6 2 0 30 Sep 2019
Deep Amortized Clustering Juho Lee Yoonho Lee Yee Whye Teh FedML 11 22 0 30 Sep 2019
$META$^\mathbf{2}$: Memory-efficient taxonomic classification and abundance estimation for metagenomics with deep learning$ META $^\mathbf{2}$ : Memory-efficient taxonomic classification and abundance estimation for metagenomics with deep learning Andreas Georgiou Vincent Fortuin Harun Mustafa Gunnar Rätsch 13 6 0 28 Sep 2019
Set Functions for Time Series Max Horn Michael Moor Christian Bock Bastian Alexander Rieck Karsten M. Borgwardt AI4TS 27 143 0 26 Sep 2019
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions Shupeng Gui Xiangliang Zhang Pan Zhong Shuang Qiu Mingrui Wu Jieping Ye Zhengdao Wang Ji Liu 16 15 0 25 Sep 2019
Graph Neural Reasoning May Fail in Certifying Boolean Unsatisfiability Ziliang Chen Zhanfu Yang NAI AI4CE 7 5 0 25 Sep 2019
Multi-task Batch Reinforcement Learning with Metric Learning Jiachen Li Q. Vuong Shuang Liu Minghua Liu K. Ciosek Keith Ross Henrik I. Christensen H. Su OffRL 13 2 0 25 Sep 2019
Deep Message Passing on Sets Yifeng Shi Junier Oliva Marc Niethammer PINN 6 9 0 21 Sep 2019
Recognizing Variables from their Data via Deep Embeddings of Distributions Jonas W. Mueller Alex Smola 8 9 0 11 Sep 2019
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing Yongcheng Liu Bin Fan Gaofeng Meng Jiwen Lu Shiming Xiang Chunhong Pan 3DPC 119 270 0 09 Sep 2019
Solving Continual Combinatorial Selection via Deep Reinforcement Learning Hyungseok Song Hyeryung Jang H. Tran Se-eun Yoon Kyunghwan Son Donggyu Yun Hyoju Chung Yung Yi 8 10 0 09 Sep 2019
GMLS-Nets: A framework for learning from unstructured data Nathaniel Trask Ravi G. Patel B. Gross P. Atzberger 11 42 0 07 Sep 2019
Set Flow: A Permutation Invariant Normalizing Flow Kashif Rasul Ingmar Schuster Roland Vollgraf Urs M. Bergmann BDL 3DPC DRL 12 5 0 06 Sep 2019
Powerset Convolutional Neural Networks Chris Wendler Dan Alistarh Markus Püschel GNN 16 19 0 05 Sep 2019
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps Benjamin Hou Athanasios Vlontzos A. Alansary Daniel Rueckert Bernhard Kainz MedIm 12 1 0 29 Aug 2019
StarNet: Targeted Computation for Object Detection in Point Clouds Jiquan Ngiam Benjamin Caine Wei Han Brandon Yang Yuning Chai ... O. Alsharif Patrick Nguyen Z. Chen Jonathon Shlens Vijay Vasudevan 3DPC 16 110 0 29 Aug 2019
Efficient Learning on Point Clouds with Basis Point Sets Sergey Prokudin Christoph Lassner Javier Romero 3DPC 16 116 0 24 Aug 2019
Developing Creative AI to Generate Sculptural Objects Songwei Ge Austin Dill Eunsu Kang Chun-Liang Li Lingyao Zhang Manzil Zaheer Barnabás Póczós 3DPC 8 8 0 20 Aug 2019
Density estimation in representation space to predict model uncertainty Tiago Ramalho M. Corbalan UQCV BDL 8 37 0 20 Aug 2019
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation Na Zhao Tat-Seng Chua Gim Hee Lee 3DPC 14 1 0 15 Aug 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Mikaela Angelina Uy Quang-Cuong Pham Binh-Son Hua D. Nguyen Sai-Kit Yeung 3DV 3DPC 40 762 0 13 Aug 2019
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model Wenbo Gong Sebastian Tschiatschek Richard E. Turner Sebastian Nowozin José Miguel Hernández-Lobato Cheng Zhang BDL 9 19 0 13 Aug 2019
Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition Xiaofeng Liu Zhenhua Guo Site Li Lingsheng Kong P. Jia J. You B. V. Kumar CVBM 19 31 0 03 Aug 2019
Deformable Filter Convolution for Point Cloud Reasoning Yuwen Xiong Mengye Ren Renjie Liao K. Wong R. Urtasun 3DPC 28 17 0 30 Jul 2019
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving Maria Hügle Gabriel Kalweit Branka Mirchevska M. Werling Joschka Boedecker 18 60 0 25 Jul 2019
Hyperlink Regression via Bregman Divergence Akifumi Okuno Hidetoshi Shimodaira 22 6 0 22 Jul 2019
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning F. Fuchs Adam R. Kosiorek Li Sun Oiwi Parker Jones Ingmar Posner VOT 22 12 0 12 Jul 2019
Learning Functions over Sets via Permutation Adversarial Networks Chirag Pabbaraju Prateek Jain 15 8 0 12 Jul 2019
Learning Truthful, Efficient, and Welfare Maximizing Auction Rules Andrea Tacchetti D. Strouse M. Garnelo T. Graepel Yoram Bachrach 13 6 0 11 Jul 2019
An Attention Mechanism for Musical Instrument Recognition Siddharth Gururani Mohit Sharma Alexander Lerch 22 41 0 09 Jul 2019
What graph neural networks cannot learn: depth vs width Andreas Loukas GNN 11 293 0 06 Jul 2019
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning Weiwei Sun Wei Jiang Eduard Trulls Andrea Tagliasacchi K. M. Yi 3DPC 9 20 0 04 Jul 2019
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds L. Prantl N. Chentanez S. Jeschke Nils Thuerey 3DPC 6 14 0 03 Jul 2019
Multiview Aggregation for Learning Category-Specific Shape Reconstruction Srinath Sridhar Davis Rempe Julien P. C. Valentin Sofien Bouaziz Leonidas J. Guibas 3DV 14 31 0 01 Jul 2019