Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,441 papers shown

Title
Versatile Energy-Based Probabilistic Models for High Energy Physics Taoli Cheng Aaron Courville DiffM 29 1 0 01 Feb 2023
Generative Adversarial Symmetry Discovery Jianke Yang Robin Walters Nima Dehmamy Rose Yu GAN 32 23 0 01 Feb 2023
Unlocking Slot Attention by Changing Optimal Transport Costs Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek OCL 44 11 0 30 Jan 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum Emmanuel Abbe Samy Bengio Aryo Lotfi Kevin Rizk LRM 54 49 0 30 Jan 2023
PointSmile: Point Self-supervised Learning via Curriculum Mutual Information Xin Li Mingqiang Wei Songcan Chen 3DPC SSL 42 4 0 30 Jan 2023
A Deep Learning Method for Comparing Bayesian Hierarchical Models Lasse Elsemüller Martin Schnuerch Paul-Christian Bürkner Stefan T. Radev BDL 30 10 0 27 Jan 2023
Noncommutative $C^$ -algebra Net: Learning Neural Networks with Powerful Product Structure in $C^$ -algebra Ryuichiro Hataya Yuka Hashimoto 52 4 0 26 Jan 2023
How Jellyfish Characterise Alternating Group Equivariant Neural Networks Edward Pearce-Crump 34 4 0 24 Jan 2023
Unifying Structure Reasoning and Language Model Pre-training for Complex Reasoning Siyuan Wang Zhongyu Wei Jiarong Xu Taishan Li Zhihao Fan LRM 41 5 0 21 Jan 2023
Versatile Neural Processes for Learning Implicit Neural Representations Zongyu Guo Cuiling Lan Zhizheng Zhang Yan Lu Zhibo Chen 35 13 0 21 Jan 2023
Neural Architecture Search: Insights from 1000 Papers Colin White Mahmoud Safari R. Sukthanker Binxin Ru T. Elsken Arber Zela Debadeepta Dey Frank Hutter 3DV AI4CE 38 131 0 20 Jan 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 25 178 0 19 Jan 2023
EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets E. Buhmann Gregor Kasieczka Jesse Thaler 3DPC 43 46 0 17 Jan 2023
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination Xingzhou Lou Jiaxian Guo Junge Zhang Jun Wang Kaiqi Huang Yali Du 22 27 0 16 Jan 2023
Stretched and measured neural predictions of complex network dynamics V. Vasiliauskaite Nino Antulov-Fantulin 42 1 0 12 Jan 2023
Conformal Loss-Controlling Prediction Di Wang Pingping Wang Zhong Ji Xiaojun Yang Hongyue Li 42 1 0 06 Jan 2023
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models Yufeng Zhang Boyi Liu Qi Cai Lingxiao Wang Zhaoran Wang 53 11 0 30 Dec 2022
Few-shot human motion prediction for heterogeneous sensors Rafael Rêgo Drumond L. Brinkmeyer Lars Schmidt-Thieme 3DH 19 4 0 22 Dec 2022
Generalizing Multimodal Variational Methods to Sets Jinzhao Zhou Yiqun Duan Zhihong Chen Yu-Cheng Chang Chin-Teng Lin DRL 50 0 0 19 Dec 2022
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning Kun-Yen Huang E. Hu Dinesh Jayaraman OffRL 43 5 0 17 Dec 2022
Multi-Scale Relational Graph Convolutional Network for Multiple Instance Learning in Histopathology Images Roozbeh Bazargani L. Fazli L. Goldenberg M. Gleave A. Bashashati Septimiu Salcudean MedIm 41 7 0 17 Dec 2022
Connecting Permutation Equivariant Neural Networks and Partition Diagrams Edward Pearce-Crump 41 9 0 16 Dec 2022
Brauer's Group Equivariant Neural Networks Edward Pearce-Crump AI4CE 18 15 0 16 Dec 2022
Learnable Commutative Monoids for Graph Neural Networks Euan Ong Petar Velickovic 34 13 0 16 Dec 2022
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 43 4 0 13 Dec 2022
Neural Structure Fields with Application to Crystal Structure Autoencoders Naoya Chiba Yuta Suzuki Tatsunori Taniai Ryo Igarashi Yoshitaka Ushiku Kotaro Saito K. Ono 29 4 0 08 Dec 2022
Active Classification of Moving Targets with Learned Control Policies Álvaro Serra-Gómez Eduardo Montijano Wendelin Bohmer Javier Alonso-Mora 51 4 0 06 Dec 2022
A Learning Based Hypothesis Test for Harmful Covariate Shift T. Ginsberg Zhongyuan Liang Rahul G. Krishnan 16 11 0 06 Dec 2022
A Model-based GNN for Learning Precoding Jia Guo Chenyang Yang 61 10 0 01 Dec 2022
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics Chunyuan Li Xinliang Zhu Jiawen Yao Junzhou Huang MedIm 30 11 0 29 Nov 2022
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT Jacopo Teneggi Paul H. Yi Jeremias Sulam 34 3 0 29 Nov 2022
Invariance-Aware Randomized Smoothing Certificates Jan Schuchardt Stephan Günnemann AAML 30 5 0 25 Nov 2022
On the Universal Approximation Property of Deep Fully Convolutional Neural Networks Ting-Wei Lin Zuowei Shen Qianxiao Li 36 4 0 25 Nov 2022
PS-Transformer: Learning Sparse Photometric Stereo Network using Self-Attention Mechanism Satoshi Ikehata ViT 3DPC 39 26 0 21 Nov 2022
Learning to Counterfactually Explain Recommendations Yuanshun Yao Chong Wang Hang Li CML OffRL 22 1 0 17 Nov 2022
Latent Bottlenecked Attentive Neural Processes Leo Feng Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed BDL 32 19 0 15 Nov 2022
Equivariant Networks for Crystal Structures Sekouba Kaba Siamak Ravanbakhsh AI4CE 53 24 0 15 Nov 2022
Unifying O(3) Equivariant Neural Networks Design with Tensor-Network Formalism Zimu Li Zihan Pengmei Han Zheng Erik H. Thiede Junyu Liu Risi Kondor 34 2 0 14 Nov 2022
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 51 64 0 11 Nov 2022
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates Tobias Schnabel Mengting Wan Longqi Yang HAI 27 9 0 11 Nov 2022
Graph Neural Networks with Adaptive Readouts David Buterez J. Janet S. Kiddle Dino Oglic Pietro Lio GNN 28 50 0 09 Nov 2022
Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack Raksha Ramakrishna Gyorgy Dán 27 2 0 08 Nov 2022
Disentangling Content and Motion for Text-Based Neural Video Manipulation Levent Karacan Tolga Kerimouglu .Ismail .Inan Tolga Birdal Erkut Erdem Aykut Erdem 37 1 0 05 Nov 2022
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion Marin Bilos Kashif Rasul Anderson Schneider Yuriy Nevmyvaka Stephan Günnemann DiffM 30 32 0 04 Nov 2022
Geometry-Complete Perceptron Networks for 3D Molecular Graphs Alex Morehead Jianlin Cheng GNN 3DV AI4CE 37 12 0 04 Nov 2022
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks Sadegh Mahdavi Kevin Swersky Thomas Kipf Milad Hashemi Christos Thrampoulidis Renjie Liao LRM OOD NAI 65 25 0 01 Nov 2022
Composite Feature Selection using Deep Ensembles F. Imrie Alexander Norcliffe Pietro Lio M. Schaar 47 12 0 01 Nov 2022
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics A. Bogatskiy Timothy Hoffman David W. Miller Jan T. Offermann 36 30 0 01 Nov 2022
Interpretable Geometric Deep Learning via Learnable Randomness Injection Siqi Miao Yunan Luo Miaoyuan Liu Pan Li 31 25 0 30 Oct 2022
Isometric 3D Adversarial Examples in the Physical World Yibo Miao Yinpeng Dong Junyi Zhu Xiao-Shan Gao 50 29 0 27 Oct 2022