Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,441 papers shown

Title
Likelihood-Free Parameter Estimation with Neural Bayes Estimators Matthew Sainsbury-Dale A. Zammit‐Mangion Raphael Huser 34 34 0 27 Aug 2022
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series Vijaya Krishna Yalavarthi Johannes Burchert Lars Schmidt-Thieme BDL AI4TS 28 4 0 24 Aug 2022
Equivariant Hypergraph Neural Networks Jinwoo Kim Saeyoon Oh Sungjun Cho Seunghoon Hong 27 12 0 22 Aug 2022
Wildfire Forecasting with Satellite Images and Deep Generative Model T. Hoang Sang Truong Chris Schmidt VGen 24 0 0 19 Aug 2022
Deep Neural Network Approximation of Invariant Functions through Dynamical Systems Qianxiao Li T. Lin Zuowei Shen 34 6 0 18 Aug 2022
Recurrent networks, hidden states and beliefs in partially observable environments Gaspard Lambrechts Adrien Bolland D. Ernst 30 12 0 06 Aug 2022
Towards Antisymmetric Neural Ansatz Separation Aaron Zweig Joan Bruna 30 4 0 05 Aug 2022
Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data Tomás Pevný Viliam Lisý B. Bosanský P. Somol Michal Pěchouček 38 1 0 04 Aug 2022
Curved Geometric Networks for Visual Anomaly Recognition Jie Hong Pengfei Fang Weihao Li Junlin Han L. Petersson Mehrtash Harandi 36 6 0 02 Aug 2022
Learning Hyper Label Model for Programmatic Weak Supervision Renzhi Wu Sheng Chen Jieyu Zhang Xu Chu 26 16 0 27 Jul 2022
A Variational AutoEncoder for Transformers with Nonparametric Variational Information Bottleneck James Henderson Fabio Fehr DRL 32 3 0 27 Jul 2022
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing Daizong Liu Wei Hu Xin Li AAML 3DPC 43 15 0 27 Jul 2022
Is Attention Interpretation? A Quantitative Assessment On Sets Jonathan Haab N. Deutschmann María Rodríguez Martínez 29 7 0 26 Jul 2022
Effective and Interpretable Information Aggregation with Capacity Networks Markus Zopf 40 0 0 25 Jul 2022
Learning Counterfactually Invariant Predictors Francesco Quinzan Cecilia Casolo Krikamol Muandet Yucen Luo Niki Kilbertus 41 8 0 20 Jul 2022
Deep Set Classifier for Financial Forensics: An application to detect money laundering Jonathan Pan 24 3 0 16 Jul 2022
SHAP-XRT: The Shapley Value Meets Conditional Independence Testing Jacopo Teneggi Beepul Bharti Yaniv Romano Jeremias Sulam FAtt 29 5 0 14 Jul 2022
Equivariant Hypergraph Diffusion Neural Operators Peihao Wang Shenghao Yang Yunyu Liu Zhangyang Wang Pan Li DiffM 46 33 0 14 Jul 2022
A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization Junbeom Kim Hoon Lee Seung‐Eun Hong Seok-Hwan Park 54 45 0 12 Jul 2022
Neural Implicit Dictionary via Mixture-of-Expert Training Peihao Wang Zhiwen Fan Tianlong Chen Zhangyang Wang 32 12 0 08 Jul 2022
Pure Transformers are Powerful Graph Learners Jinwoo Kim Tien Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee Honglak Lee Seunghoon Hong 48 193 0 06 Jul 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 48 17 0 05 Jul 2022
ν-Flows: Conditional Neutrino Regression Matthew Leigh J. A. Raine K. Zoch T. Golling BDL 32 25 0 01 Jul 2022
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios Vaisakh Shaj Le Chen Rohit Sonker P. Becker Gerhard Neumann 40 8 0 29 Jun 2022
Supervised Training of Conditional Monge Maps Charlotte Bunne Andreas Krause Marco Cuturi OT 103 62 0 28 Jun 2022
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting Byeonggeun Kim Seunghan Yang Inseop Chung Simyung Chang 22 14 0 28 Jun 2022
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets Lily H. Zhang Veronica Tozzo J. Higgins Rajesh Ranganath BDL MoE 19 16 0 23 Jun 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Fabrizio Frasca Beatrice Bevilacqua Michael M. Bronstein Haggai Maron 48 127 0 22 Jun 2022
Learning Continuous Rotation Canonicalization with Radial Beam Sampling J. Schmidt Sebastian Stober 35 1 0 21 Jun 2022
Conditional Permutation Invariant Flows Berend Zwartsenberg Adam Scibior Matthew Niedoba Vasileios Lioutas Yunpeng Liu Justice Sefas Setareh Dabiri J. Lavington Trevor Campbell Frank Wood 17 8 0 17 Jun 2022
Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling Iain Carmichael Andrew H. Song Richard J. Chen Drew F. K. Williamson Tiffany Y. Chen Faisal Mahmood 41 12 0 17 Jun 2022
DSCA: A Dual-Stream Network with Cross-Attention on Whole-Slide Image Pyramids for Cancer Prognosis Pei Liu Bo Fu Feng Ye Rui Yang Bin Xu Luping Ji 21 24 0 12 Jun 2022
PAVI: Plate-Amortized Variational Inference Louis Rouillard Thomas Moreau Demian Wassermann 33 1 0 10 Jun 2022
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs Dongjin Lee Kijung Shin 40 37 0 09 Jun 2022
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons Serge Assaad Carlton Downey Rami Al-Rfou Nigamaa Nayakanti Benjamin Sapp 49 18 0 08 Jun 2022
Neural Diffusion Processes Vincent Dutordoir Alan D. Saul Zoubin Ghahramani F. Simpson DiffM 45 39 0 08 Jun 2022
Schema-Guided Event Graph Completion Hongwei Wang Zixuan Zhang Sha Li Jiawei Han Yizhou Sun Yangqiu Song Joseph P. Olive Heng Ji 25 5 0 06 Jun 2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning Richard J. Chen Chengkuan Chen Yicong Li Tiffany Y. Chen A. Trister Rahul G. Krishnan Faisal Mahmood ViT MedIm 47 410 0 06 Jun 2022
Use-Case-Grounded Simulations for Explanation Evaluation Valerie Chen Nari Johnson Nicholay Topin Gregory Plumb Ameet Talwalkar FAtt ELM 30 24 0 05 Jun 2022
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm Meng Liu Haiyang Yu Shuiwang Ji 45 1 0 04 Jun 2022
Estimating counterfactual treatment outcomes over time in complex multiagent scenarios Keisuke Fujii Koh Takeuchi Atsushi Kuribayashi Naoya Takeishi Yoshinobu Kawahara K. Takeda CML 46 14 0 04 Jun 2022
Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction Masaki Teranishi Kazushi Tsutsui K. Takeda Keisuke Fujii 38 23 0 04 Jun 2022
Is an encoder within reach? Helene Hauschultz Rasmus Berg Palm. Pablo Moreno-Munos N. Detlefsen A. Plessis Søren Hauberg 19 0 0 03 Jun 2022
Towards Improving the Generation Quality of Autoregressive Slot VAEs Patrick Emami Pan He Sanjay Ranka Anand Rangarajan OCL 38 1 0 03 Jun 2022
Exponential Separations in Symmetric Neural Networks Aaron Zweig Joan Bruna 44 7 0 02 Jun 2022
Discretization Invariant Networks for Learning Maps between Neural Fields Clinton Jia Wang Polina Golland 46 0 0 02 Jun 2022
The CLRS Algorithmic Reasoning Benchmark Petar Velivcković Adria Puigdomenech Badia David Budden Razvan Pascanu Andrea Banino Mikhail Dashevskiy R. Hadsell Charles Blundell 163 89 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 186 49 0 30 May 2022
Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups Sho Sonoda Isao Ishikawa Masahiro Ikeda 30 9 0 30 May 2022
COFS: Controllable Furniture layout Synthesis W. Para Paul Guerrero Niloy Mitra Peter Wonka 3DV 47 16 0 29 May 2022