Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,439 papers shown

Title
KPConv: Flexible and Deformable Convolution for Point Clouds Hugues Thomas C. Qi Jean-Emmanuel Deschaud B. Marcotegui F. Goulette Leonidas J. Guibas 3DPC 22 2,498 0 18 Apr 2019
3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning Models Daniel Koguciuk L. Chechlinski Tarek El-Gaaly 3DPC 23 10 0 17 Apr 2019
Relation-Shape Convolutional Neural Network for Point Cloud Analysis Yongcheng Liu Bin Fan Shiming Xiang Chunhong Pan 3DPC 11 884 0 16 Apr 2019
MxML: Mixture of Meta-Learners for Few-Shot Classification Minseop Park Jungtaek Kim Saehoon Kim Yanbin Liu Seungjin Choi OODD 15 8 0 11 Apr 2019
Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data Zeyuan Wang Josiah Poon Shiding Sun S. Poon 12 26 0 09 Apr 2019
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling Jiancheng Yang Qiang Zhang Bingbing Ni Linguo Li Jinxian Liu Mengdie Zhou Qi Tian 3DPC 16 379 0 06 Apr 2019
Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion Jonathan Mamou Oren Pereg Moshe Wasserblat Ido Dagan 11 0 0 04 Apr 2019
Rep the Set: Neural Networks for Learning Set Representations Konstantinos Skianis Giannis Nikolentzos Stratis Limnios Michalis Vazirgiannis OCL 11 45 0 03 Apr 2019
End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image Seonghyeon Nam Chongyang Ma Menglei Chai William Brendel N. Xu Seon Joo Kim GAN 11 32 0 01 Apr 2019
Learning Combinatorial Embedding Networks for Deep Graph Matching Runzhong Wang Junchi Yan Xiaokang Yang 6 234 0 01 Apr 2019
Discrete Rotation Equivariance for Point Cloud Recognition Jiaxin Li Yingcai Bi Gim Hee Lee 3DPC 16 24 0 31 Mar 2019
Unpaired Point Cloud Completion on Real Scans using Adversarial Training Xuelin Chen Baoquan Chen Niloy J. Mitra 3DPC 20 127 0 29 Mar 2019
Invariance-Preserving Localized Activation Functions for Graph Neural Networks Luana Ruiz Fernando Gama A. Marques Alejandro Ribeiro GNN 25 51 0 29 Mar 2019
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment Samyak Datta Karan Sikka Anirban Roy Karuna Ahuja Devi Parikh Ajay Divakaran 8 101 0 27 Mar 2019
Equivariant Entity-Relationship Networks Devon R. Graham Junhao Wang Siamak Ravanbakhsh 8 8 0 21 Mar 2019
Deep Eikonal Solvers M. Lichtenstein Gautam Pai Ron Kimmel 17 13 0 19 Mar 2019
On Deep Set Learning and the Choice of Aggregations Maximilian Sölch A. Akhundov Patrick van der Smagt Justin Bayer TDI 19 19 0 18 Mar 2019
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data Moonsu Han Minki Kang Hyunwoo Jung Sung Ju Hwang RALM 11 19 0 14 Mar 2019
A Sequential Set Generation Method for Predicting Set-Valued Outputs Tian Gao Jie Chen Vijil Chenthamarakshan Michael Witbrock 11 6 0 12 Mar 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 19 255 0 06 Mar 2019
PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers Saeed Amizadeh Sergiy Matusevych Markus Weimer AI4CE 22 20 0 05 Mar 2019
Universal approximations of permutation invariant/equivariant functions by deep neural networks Akiyoshi Sannai Yuuki Takai Matthieu Cordonnier 21 67 0 05 Mar 2019
Adversarial Attack and Defense on Point Sets Jiancheng Yang Qiang Zhang Rongyao Fang Bingbing Ni Jinxian Liu Qi Tian 3DPC 19 122 0 28 Feb 2019
Differentiable Scene Graphs Moshiko Raboh Roei Herzig Gal Chechik Jonathan Berant Amir Globerson OCL 19 34 0 26 Feb 2019
ParticleNet: Jet Tagging via Particle Clouds H. Qu L. Gouskos 3DPC MU 22 229 0 22 Feb 2019
Fast Task-Aware Architecture Inference Efi Kokiopoulou Anja Hauth L. Sbaiz Andrea Gesmundo Gábor Bartók Jesse Berent 3DV 10 17 0 15 Feb 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 35 402 0 11 Feb 2019
Exchangeable Generative Models with Flow Scans Christian Bender Kevin O'Connor Yang Li J. Garcia Manzil Zaheer Junier Oliva 3DPC 11 4 0 05 Feb 2019
Particle Flow Bayes' Rule Xinshi Chen H. Dai Le Song 6 9 0 02 Feb 2019
Feature-Critic Networks for Heterogeneous Domain Generalization Yiying Li Yongxin Yang Wei Zhou Timothy M. Hospedales OOD 12 253 0 31 Jan 2019
Learning Context-Dependent Choice Functions Karlson Pfannschmidt Pritha Gupta Björn Haddenhorst Eyke Hüllermeier 14 6 0 29 Jan 2019
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation Samuel Wiqvist Pierre-Alexandre Mattei Umberto Picchini J. Frellsen BDL 22 32 0 29 Jan 2019
On the Universality of Invariant Networks Haggai Maron Ethan Fetaya Nimrod Segol Y. Lipman OOD 6 235 0 27 Jan 2019
On the Limitations of Representing Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Ingmar Posner Michael A. Osborne 28 163 0 25 Jan 2019
Decentralization of Multiagent Policies by Learning What to Communicate James Paulos Steven W. Chen Daigo Shishika Vijay R. Kumar 6 30 0 24 Jan 2019
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space Jonathan Sauder Bjarne Sievers 3DPC 9 18 0 24 Jan 2019
Constant Time Graph Neural Networks Ryoma Sato M. Yamada H. Kashima GNN 15 10 0 23 Jan 2019
Large-scale Collaborative Filtering with Product Embeddings Thom Lake Sinead Williamson Alexander T. Hawk Christopher C. Johnson Benjamin Wing 14 10 0 11 Jan 2019
DPPNet: Approximating Determinantal Point Processes with Deep Networks Zelda E. Mariet Yaniv Ovadia Jasper Snoek 19 10 0 07 Jan 2019
Neural Clustering Processes Ari Pakman Yueqi Wang Catalin Mitelut JinHyung Lee Liam Paninski BDL 6 5 0 28 Dec 2018
InstaGAN: Instance-aware Image-to-Image Translation Sangwoo Mo Minsu Cho Jinwoo Shin 20 157 0 28 Dec 2018
Invariant and Equivariant Graph Networks Haggai Maron Heli Ben-Hamu Nadav Shamir Y. Lipman 6 493 0 24 Dec 2018
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 5,397 0 20 Dec 2018
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature Franz J. Király Bilal A. Mateen R. Sonabend 8 10 0 18 Dec 2018
Momen(e)t: Flavor the Moments in Learning to Classify Shapes Mor Joseph-Rivlin Alon Zvirin Ron Kimmel 3DPC 14 67 0 18 Dec 2018
Conditional Graph Neural Processes: A Functional Autoencoder Approach Marcel Nassar Xin Eric Wang E. Tumer GNN BDL AI4CE 8 4 0 13 Dec 2018
Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions Weikai Chen Xiaoguang Han Guanbin Li Chao Chen Jun Xing Yajie Zhao Hao Li 3DPC 11 26 0 11 Dec 2018
Learning Representations of Sets through Optimized Permutations Yan Zhang Jonathon S. Hare Adam Prugel-Bennett SSL 11 24 0 10 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 22 656 0 10 Dec 2018
Point-to-Pose Voting based Hand Pose Estimation using Residual Permutation Equivariant Layer Shile Li Dongheui Lee 3DPC 16 75 0 05 Dec 2018