Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

1 October 2018

Papers citing "Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks"

50 / 193 papers shown

Title
Long-Short Transformer: Efficient Transformers for Language and Vision Chen Zhu Ming-Yu Liu Chaowei Xiao M. Shoeybi Tom Goldstein Anima Anandkumar Bryan Catanzaro ViT VLM 32 130 0 05 Jul 2021
Universal Approximation of Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Michael A. Osborne Ingmar Posner PINN 38 54 0 05 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung Sung Ju Hwang 40 43 0 02 Jul 2021
Meta-Learning for Relative Density-Ratio Estimation Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 28 10 0 02 Jul 2021
SymbolicGPT: A Generative Transformer Model for Symbolic Regression Mojtaba Valipour Bowen You Maysum Panju A. Ghodsi 18 88 0 27 Jun 2021
Encoder-Decoder Based Attractors for End-to-End Neural Diarization Shota Horiguchi Yusuke Fujita Shinji Watanabe Yawen Xue Leibny Paola García-Perera 37 64 0 20 Jun 2021
Kernel Identification Through Transformers F. Simpson Ian Davies V. Lalchand A. Vullo N. Durrande C. Rasmussen 13 10 0 15 Jun 2021
Learning to Pool in Graph Neural Networks for Extrapolation Jihoon Ko Taehyung Kwon Kijung Shin Juho Lee 21 6 0 11 Jun 2021
Scaling Vision Transformers Xiaohua Zhai Alexander Kolesnikov N. Houlsby Lucas Beyer ViT 85 1,063 0 08 Jun 2021
SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention Alexander Shmakov M. Fenton Ta-Wei Ho Shih-Chieh Hsu D. Whiteson Pierre Baldi 28 32 0 07 Jun 2021
Provably Strict Generalisation Benefit for Invariance in Kernel Methods Bryn Elesedy 22 27 0 04 Jun 2021
You Never Cluster Alone Yuming Shen Ziyi Shen Menghan Wang Jie Qin Philip Torr Ling Shao SSL 23 43 0 03 Jun 2021
Luna: Linear Unified Nested Attention Xuezhe Ma Xiang Kong Sinong Wang Chunting Zhou Jonathan May Hao Ma Luke Zettlemoyer 33 114 0 03 Jun 2021
Medical Image Segmentation Using Squeeze-and-Expansion Transformers Shaohua Li Xiuchao Sui Xiangde Luo Xinxing Xu Yong Liu Rick Siow Mong Goh ViT MedIm 17 166 0 20 May 2021
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network Fasil Gadjimuradov Thomas Benkert M. Nickel Andreas Maier OOD 25 11 0 19 May 2021
Graph Attention Networks with Positional Embeddings Liheng Ma Reihaneh Rabbany Adriana Romero Soriano GNN 33 20 0 09 May 2021
Neural Networks for Learning Counterfactual G-Invariances from Single Environments S Chandra Mouli Bruno Ribeiro OOD 37 11 0 20 Apr 2021
Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction Federico Bianchi C. Greco Jacopo Tagliabue 40 9 0 18 Apr 2021
Deep Permutation Equivariant Structure from Motion Dror Moran Hodaya Koslowsky Yoni Kasten Haggai Maron Meirav Galun Ronen Basri 3DPC 31 17 0 14 Apr 2021
Efficient Attentions for Long Document Summarization L. Huang Shuyang Cao Nikolaus Nova Parulian Heng Ji Lu Wang 73 275 0 05 Apr 2021
Visual analytics of set data for knowledge discovery and member selection support Ryuji Watanabe Hideaki Ishibashi T. Furukawa 16 5 0 04 Apr 2021
Attention, please! A survey of Neural Attention Models in Deep Learning Alana de Santana Correia Esther Luna Colombini HAI 23 175 0 31 Mar 2021
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding Pengchuan Zhang Xiyang Dai Jianwei Yang Bin Xiao Lu Yuan Lei Zhang Jianfeng Gao ViT 29 330 0 29 Mar 2021
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications Haw-Shiuan Chang Amol Agrawal Andrew McCallum 18 9 0 29 Mar 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 59 653 0 20 Mar 2021
HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for Microscopy Image Classification Yanlun Tu Houchao Lei Wei Long Yang Yang 33 16 0 17 Mar 2021
Inference for Generative Capsule Models A. Nazábal Nikolaos Tsagkas Christopher K. I. Williams OCL GAN MedIm 19 4 0 11 Mar 2021
Iterative SE(3)-Transformers F. Fuchs E. Wagstaff Justas Dauparas Ingmar Posner 25 17 0 26 Feb 2021
Generative Models as Distributions of Functions Emilien Dupont Yee Whye Teh Arnaud Doucet 22 103 0 09 Feb 2021
Meta-Learning for Koopman Spectral Analysis with Short Time-series Tomoharu Iwata Yoshinobu Kawahara AI4TS 36 0 0 09 Feb 2021
Improved Brain Age Estimation with Slice-based Set Networks Umang Gupta Pradeep Lam Greg Ver Steeg Paul M. Thompson MedIm 30 30 0 08 Feb 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 227 2,434 0 04 Jan 2021
Learning Aggregation Functions Giovanni Pellegrini Alessandro Tibo P. Frasconi Andrea Passerini M. Jaeger FedML 18 19 0 15 Dec 2020
Adversarial Permutation Guided Node Representations for Link Prediction Indradyumna Roy A. De Soumen Chakrabarti 38 15 0 13 Dec 2020
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering Hui Tang Xiatian Zhu Ke Chen Kui Jia C. L. Philip Chen 31 24 0 08 Dec 2020
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations Wolfgang Stammer P. Schramowski Kristian Kersting FAtt 14 107 0 25 Nov 2020
Attention-Based Learning on Molecular Ensembles Kangway V Chuang Michael J. Keiser 22 8 0 25 Nov 2020
Point Transformer Nico Engel Vasileios Belagiannis Klaus C. J. Dietmayer 3DPC 54 1,947 0 02 Nov 2020
Predicting Infectiousness for Proactive Contact Tracing Yoshua Bengio Prateek Gupta Tegan Maharaj Nasim Rahaman Martin Weiss ... Irina Rish Bernhard Schölkopf Abhinav Sharma Jian Tang Andrew Robert Williams 42 15 0 23 Oct 2020
Learning to Reconstruct and Segment 3D Objects Bo Yang 3DPC 19 1 0 19 Oct 2020
Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks M. Fenton Alexander Shmakov Ta-Wei Ho S. Hsu D. Whiteson Pierre Baldi 41 37 0 19 Oct 2020
A Transformer Based Pitch Sequence Autoencoder with MIDI Augmentation Mingshuo Ding Yi Ma 15 1 0 15 Oct 2020
An Evasion Attack against Stacked Capsule Autoencoder Jiazhu Dai Siwei Xiong AAML 32 1 0 14 Oct 2020
Set Prediction without Imposing Structure as Conditional Density Estimation David W. Zhang Gertjan J. Burghouts Cees G. M. Snoek 51 17 0 08 Oct 2020
Active Feature Acquisition with Generative Surrogate Models Yang Li Junier B. Oliva RALM TPM 30 37 0 06 Oct 2020
TabSim: A Siamese Neural Network for Accurate Estimation of Table Similarity Maryam Habibi J. Starlinger Ulf Leser LMTD 42 12 0 25 Aug 2020
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank Tao Yang Shikai Fang Shibo Li Yulan Wang Qingyao Ai 13 7 0 20 Aug 2020
Exchangeable Neural ODE for Set Modeling Yang Li Haidong Yi Christopher M. Bender Siyuan Shan Junier B. Oliva BDL 18 30 0 06 Aug 2020
Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes Lei Yang Wenxi Liu Zhiming Cui Nenglun Chen Wenping Wang 3DPC 16 16 0 19 Jul 2020
Modern Hopfield Networks and Attention for Immune Repertoire Classification Michael Widrich Bernhard Schafl Hubert Ramsauer Milena Pavlović Lukas Gruber ... Johannes Brandstetter G. K. Sandve Victor Greiff Sepp Hochreiter Günter Klambauer 193 117 0 16 Jul 2020