Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,441 papers shown

Title
Fisher Information Embedding for Node and Graph Learning Dexiong Chen Paolo Pellizzoni Karsten Borgwardt GNN 31 2 0 12 May 2023
AudioSlots: A slot-centric generative model for audio separation P. Reddy Scott Wisdom Klaus Greff J. Hershey Thomas Kipf OCL VLM 33 6 0 09 May 2023
Self-supervised dense representation learning for live-cell microscopy with time arrow prediction Benjamin Gallusser Max Stieber Martin Weigert 22 7 0 09 May 2023
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks Cai Zhou Xiyuan Wang Muhan Zhang 35 14 0 08 May 2023
Modelling Concurrency Bugs Using Machine Learning Teodor Rares Begu 18 0 0 08 May 2023
Explaining RL Decisions with Trajectories Shripad Deshmukh Arpan Dasgupta Balaji Krishnamurthy Nan Jiang Chirag Agarwal Georgios Theocharous J. Subramanian OffRL 31 3 0 06 May 2023
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions Alexandros Papadopoulos A. Delopoulos 38 2 0 29 Apr 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz Kai Zhang Pulkit Agrawal 54 15 0 27 Apr 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow Dongkun Zhang Jintao Xue Yuxiang Cui Yunkai Wang Eryun Liu Wei Jing Junbo Chen R. Xiong Yue Wang 44 0 0 25 Apr 2023
Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance Haiwen Feng Peter Kulits Shichen Liu Michael J. Black Victoria Fernandez-Abrevaya 3DPC 3DH 35 10 0 20 Apr 2023
Martingale Posterior Neural Processes Hyungi Lee Eunggu Yun G. Nam Edwin Fong Juho Lee UQCV 25 7 0 19 Apr 2023
Learning Geometry-aware Representations by Sketching Hyun-Dong Lee Inwoo Hwang Hyun-Young Go Won-Seok Choi Kibeom Kim Byoung-Tak Zhang SSL 36 3 0 17 Apr 2023
Permutation Equivariance of Transformers and Its Applications Hengyuan Xu Liyao Xiang Hang Ye Dixi Yao Pengzhi Chu Baochun Li 21 13 0 16 Apr 2023
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance Jonathan Crabbé M. Schaar AAML 26 6 0 13 Apr 2023
Multi-scale Geometry-aware Transformer for 3D Point Cloud Classification Xian Wei Muyu Wang S. J. Lin Zhengyu Li Jian Yang Arafat Al-Jawari Xuan Tang 3DPC ViT 21 2 0 12 Apr 2023
Feudal Graph Reinforcement Learning Tommaso Marzi Arshjot Khehra Andrea Cini Cesare Alippi 35 0 0 11 Apr 2023
A new perspective on building efficient and expressive 3D equivariant graph neural networks Weitao Du Yuanqi Du Limei Wang Dieqiao Feng Guifeng Wang Shuiwang Ji Carla P. Gomes Zhixin Ma AI4CE 48 34 0 07 Apr 2023
ChiroDiff: Modelling chirographic data with Diffusion Models Ayan Das Yongxin Yang Timothy M. Hospedales Tao Xiang Yi-Zhe Song DiffM 37 10 0 07 Apr 2023
The expressive power of pooling in Graph Neural Networks F. Bianchi Veronica Lachi 24 30 0 04 Apr 2023
SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTA Pan Xiao Peijie Qiu Sungmin Ha Abdalla Bani Shuang Zhou Aristeidis Sotiras DRL 38 4 0 29 Mar 2023
Deep Ranking Ensembles for Hyperparameter Optimization Abdus Salam Khazi Sebastian Pineda Arango Josif Grabocka BDL 44 7 0 27 Mar 2023
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases Hongyu Ren Mikhail Galkin Michael Cochez Zhaocheng Zhu J. Leskovec NAI GNN 49 35 0 26 Mar 2023
The Exact Sample Complexity Gain from Invariances for Kernel Regression B. Tahmasebi Stefanie Jegelka 33 17 0 24 Mar 2023
Anti-symmetric Barron functions and their approximation with sums of determinants Nilin Abrahamsen Lin Lin 43 4 0 22 Mar 2023
EDGI: Equivariant Diffusion for Planning with Embodied Agents Johann Brehmer Joey Bose P. D. Haan Taco S. Cohen DiffM 35 33 0 22 Mar 2023
Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs Yunjie He M. Nayyeri Bo Xiong Yuqicheng Zhu Evgeny Kharlamov Steffen Staab 21 2 0 21 Mar 2023
Prefix-Tree Decoding for Predicting Mass Spectra from Molecules Samuel Goldman John Bradshaw Jiayi Xin Connor W. Coley 32 13 0 11 Mar 2023
Direct Bayesian Regression for Distribution-valued Covariates Bohao Tang Sandipan Pramanik Yi Zhao B. Caffo A. Datta 33 0 0 11 Mar 2023
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network Yumeng Song Yu Gu Tianyi Li Jianzhong Qi Zhenghao Liu Christian S. Jensen Ge Yu SSL 42 15 0 10 Mar 2023
Pacos: Modeling Users' Interpretable and Context-Dependent Choices in Preference Reversals Qingming Li H. V. Zhao 24 0 0 10 Mar 2023
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics Matthew Leigh Debasish Sengupta Guillaume Quétant J. A. Raine K. Zoch T. Golling DiffM 45 46 0 09 Mar 2023
Neural Vector Fields: Implicit Representation by Explicit Learning Xianghui Yang Guosheng Lin Zhenghao Chen Luping Zhou AI4CE 54 17 0 08 Mar 2023
Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning H. Hashemi Nikolai Hartmann Sahand Sharifzadeh James Kahn T. Kuhr 35 4 0 07 Mar 2023
Learning Permutation-Invariant Embeddings for Description Logic Concepts Caglar Demir A. N. Ngomo 13 3 0 03 Mar 2023
Specformer: Spectral Graph Neural Networks Meet Transformers Deyu Bo Chuan Shi Lele Wang Renjie Liao 81 83 0 02 Mar 2023
AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images Ramin Nakhli Puria Azadi Moghadam Haoyang Mi H. Farahani Alexander S. Baras B. Gilks A. Bashashati MedIm ViT 40 18 0 01 Mar 2023
Completeness of Atomic Structure Representations M. J. Willatt Sergey Pozdnyakov Christoph Ortner Michele Ceriotti 38 12 0 28 Feb 2023
Permutation Equivariant Neural Functionals Allan Zhou Kaien Yang Kaylee Burns Adriano Cardace Yiding Jiang Samuel Sokota J. Zico Kolter Chelsea Finn 40 47 0 27 Feb 2023
Generative Models for 3D Point Clouds Lingjie Kong P. Rajak Siamak Shakeri 3DPC 30 4 0 26 Feb 2023
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning Ryan Kortvelesy Steven D. Morad Amanda Prorok AI4CE 27 2 0 24 Feb 2023
Keyword Decisions in Sponsored Search Advertising: A Literature Review and Research Agenda Yanwu Yang Huiran Li 32 12 0 24 Feb 2023
Set Features for Fine-grained Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen AI4TS 31 15 0 23 Feb 2023
Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace Yunzhong He Yuxin Tian Mengjiao MJ Wang Feier Chen Licheng Yu Maolong Tang Congcong Chen Ning Zhang Bin Kuang Arul T. Prakash 41 13 0 21 Feb 2023
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics Nihal Murali A. Puli Ke Yu Rajesh Ranganath Kayhan Batmanghelich AAML 43 9 0 18 Feb 2023
Efficient Attention via Control Variates Lin Zheng Jianbo Yuan Chong-Jun Wang Lingpeng Kong 39 18 0 09 Feb 2023
Topological Deep Learning: A Review of an Emerging Paradigm Ali Zia Abdelwahed Khamis James A. Nichols Zeeshan Hayder V. Rolland L. Petersson 25 23 0 08 Feb 2023
Techniques to Improve Neural Math Word Problem Solvers Youyuan Zhang AIMat 13 1 0 06 Feb 2023
GRANDE: a neural model over directed multigraphs with application to anti-money laundering Ruofan Wu Boqun Ma Hong Jin Wenlong Zhao Weiqiang Wang Tianyi Zhang 27 1 0 04 Feb 2023
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types Jianfei Gao Yangze Zhou Jincheng Zhou Bruno Ribeiro 43 9 0 02 Feb 2023
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control Zhen Lin Shubhendu Trivedi Cao Xiao Jimeng Sung 27 2 0 02 Feb 2023