Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,441 papers shown

Title
Symmetry Group Equivariant Architectures for Physics A. Bogatskiy S. Ganguly Thomas Kipf Risi Kondor David W. Miller ... Jan T. Offermann M. Pettee P. Shanahan C. Shimmin S. Thais AI4CE 32 27 0 11 Mar 2022
Font Shape-to-Impression Translation Masaya Ueda Akisato Kimura S. Uchida AI4CE 24 3 0 11 Mar 2022
Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework Xiaotian Hao Hangyu Mao Weixun Wang Yaodong Yang Dong Li Yan Zheng Zhen Wang Jianye Hao LRM 37 6 0 10 Mar 2022
Policy Architectures for Compositional Generalization in Control Allan Zhou Vikash Kumar Chelsea Finn Aravind Rajeswaran 31 22 0 10 Mar 2022
DuMLP-Pin: A Dual-MLP-dot-product Permutation-invariant Network for Set Feature Extraction Jiajun Fei Ziyu Zhu Wenlei Liu Zhidong Deng Mingyang Li Huanjun Deng Shuo Zhang 3DPC 16 6 0 08 Mar 2022
Neural Simulated Annealing Alvaro H. C. Correia Daniel E. Worrall Roberto Bondesan 19 7 0 04 Mar 2022
HV-Net: Hypervolume Approximation based on DeepSets Ke Shang Weiyu Chen Weiduo Liao H. Ishibuchi 31 10 0 04 Mar 2022
Learning Neural Set Functions Under the Optimal Subset Oracle Zijing Ou Tingyang Xu Qinliang Su Yingzhen Li P. Zhao Yatao Bian BDL 18 9 0 03 Mar 2022
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology Richard J. Chen Rahul G. Krishnan MedIm ViT 37 84 0 01 Mar 2022
Optimal-er Auctions through Attention Dmitry Ivanov Iskander Safiulin Igor Filippov Ksenia Balabaeva 26 31 0 26 Feb 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning Derek Lim Joshua Robinson Lingxiao Zhao Tess E. Smidt S. Sra Haggai Maron Stefanie Jegelka 54 143 0 25 Feb 2022
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization Weijia Zhang Xuanhui Zhang Hanwen Deng Min-Ling Zhang 32 22 0 25 Feb 2022
Learning Transferable Reward for Query Object Localization with Policy Adaptation Tingfeng Li Shaobo Han Martin Renqiang Min Dimitris N. Metaxas 35 1 0 24 Feb 2022
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks Soumyasundar Pal Antonios Valkanas Florence Regol Mark Coates SSL 35 16 0 22 Feb 2022
Message passing all the way up Petar Velickovic 121 64 0 22 Feb 2022
Transformation Coding: Simple Objectives for Equivariant Representations Mehran Shakerinava A. Mondal Siamak Ravanbakhsh OffRL 38 0 0 19 Feb 2022
What Functions Can Graph Neural Networks Generate? Mohammad Fereydounian Hamed Hassani Amin Karbasi 38 4 0 17 Feb 2022
Conformal Prediction Sets with Limited False Positives Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 26 23 0 15 Feb 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 36 41 0 15 Feb 2022
Disentangling Domain and Content Dan-Andrei Iliescu A. Mikhailiuk Damon J. Wischik Rafał K. Mantiuk DRL 12 0 0 15 Feb 2022
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks Q. Hu Daizong Liu Wei Hu AAML 3DPC 33 21 0 15 Feb 2022
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets Xia Wei Aldo A. Faisal Moritz Grosse-Wentrup Alexandre Gramfort Sylvain Chevallier ... Stephen M. Gordon Vernon J. Lawhern Maciej Śliwowski Vincent Rouanne Piotr Tempczyk OOD 30 24 0 14 Feb 2022
Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs Jyoti Narwariya Chetan Verma Pankaj Malhotra L. Vig E. Subramanian Sanjay Bhat AI4TS 36 2 0 11 Feb 2022
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents Ahmed Akakzia Olivier Serris Olivier Sigaud Cédric Colas 29 6 0 10 Feb 2022
Teaching Networks to Solve Optimization Problems Xinran Liu Yuzhe Lu Ali Abbasi Meiyi Li Javad Mohammadi Soheil Kolouri 54 11 0 08 Feb 2022
Particle Transformer for Jet Tagging H. Qu Congqiao Li Sitian Qian ViT MedIm 29 97 0 08 Feb 2022
NxtPost: User to Post Recommendations in Facebook Groups Kaushik Rangadurai Yiqun Liu Siddarth Malreddy Xiaoyi Liu P. Maheshwari Vishwanath Sangale Fedor Borisyuk 19 6 0 08 Feb 2022
Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting Guofeng Mei Litao Yu Qiang Wu Jian Zhang Mohammed Bennamoun SSL 3DPC 21 8 0 05 Feb 2022
3D Point Cloud Registration with Learning-based Matching Algorithm Rintaro Yanagi Atsushi Hashimoto Shusaku Sone Naoya Chiba Jiaxin Ma Yoshitaka Ushiku 3DPC 39 1 0 04 Feb 2022
Deep invariant networks with differentiable augmentation layers Cédric Rommel Thomas Moreau Alexandre Gramfort OOD 32 8 0 04 Feb 2022
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks Lang Liu M. M. Fard Sen Zhao OOD 37 3 0 04 Feb 2022
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds Thibault de Surrel Felix Hensel Mathieu Carrière Théo Lacombe Yuichi Ike Hiroaki Kurihara Marc Glisse Frédéric Chazal 3DPC 29 17 0 03 Feb 2022
Learning to reason about and to act on physical cascading events Yuval Atzmon E. Meirom Shie Mannor Gal Chechik LRM 34 0 0 02 Feb 2022
Black-box Bayesian inference for economic agent-based models Joel Dyer Patrick W Cannon J. Farmer Sebastian M. Schmon 29 24 0 01 Feb 2022
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition Stylianos Bakas Siegfried Ludwig Konstantinos Barmpas Mehdi Bahri Yannis Panagakis N. Laskaris Dimitrios A. Adamos Stefanos Zafeiriou 17 10 0 01 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 44 0 01 Feb 2022
Equivariant neural networks for recovery of Hadamard matrices A. Peres E. Dias Luís Sarmento Hugo Penedones 20 0 0 31 Jan 2022
RiskNet: Neural Risk Assessment in Networks of Unreliable Resources Krzysztof Rusek Piotr Boryło P. Jaglarz Fabien Geyer A. Cabellos P. Chołda 41 2 0 28 Jan 2022
Generative Coarse-Graining of Molecular Conformations Wujie Wang Minkai Xu Chen Cai Benjamin Kurt Miller Tess E. Smidt Yusu Wang Jian Tang Rafael Gómez-Bombarelli 27 34 0 28 Jan 2022
HEAT: Hyperedge Attention Networks Dobrik Georgiev Marc Brockschmidt Miltiadis Allamanis GNN 32 16 0 28 Jan 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin Walters Rose Yu 50 75 0 28 Jan 2022
Learning Graph Augmentations to Learn Graph Representations Kaveh Hassani Amir Hosein Khas Ahmadi 56 21 0 24 Jan 2022
Revisiting Global Pooling through the Lens of Optimal Transport Minjie Cheng Hongteng Xu 22 0 0 23 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 25 31 0 20 Jan 2022
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning Mingye Xu Yali Wang Zhipeng Zhou Hongbin Xu Yu Qiao 3DPC 26 13 0 20 Jan 2022
Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning E. Kalinicheva Loic Landrieu Clement Mallet N. Chehata 3DPC AI4CE 35 5 0 20 Jan 2022
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning Baicen Xiao Bhaskar Ramasubramanian Radha Poovendran 22 4 0 12 Jan 2022
FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging Sibi Catley-Chandar T. Tanay Lucas Vandroux A. Leonardis Greg Slabaugh Eduardo Pérez-Pellitero 54 18 0 07 Jan 2022
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction Benjamin Hilprecht Carsten Binnig AI4TS 9 56 0 03 Jan 2022
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification Jorge F. Silva Felipe A. Tobar Mario L. Vicuna Felipe Cordova 16 2 0 30 Dec 2021