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
EAANet: Efficient Attention Augmented Convolutional Networks Runqing Zhang Tianshu Zhu 30 0 0 03 Jun 2022
From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery Dimitrios Mallis Enrique Sanchez Matt Bell Georgios Tzimiropoulos SSL 3DPC 43 6 0 31 May 2022
SymFormer: End-to-end symbolic regression using transformer-based architecture Martin Vastl Jonáš Kulhánek Jiří Kubalík Erik Derner Robert Babuška 35 44 0 31 May 2022
Exploring Map-based Features for Efficient Attention-based Vehicle Motion Prediction Carlos Gómez-Huélamo Marcos V. Conde Miguel Ortiz 32 6 0 25 May 2022
Convolutional Neural Processes for Inpainting Satellite Images Alexander Pondaven M. Bakler D. Guo Hamzah Hashim Martin Ignatov Harrison Zhu 19 8 0 24 May 2022
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation Yijun Tian Chuxu Zhang Zhichun Guo Chao Huang Ronald A Metoyer Nitesh Chawla 33 26 0 24 May 2022
Semi-Parametric Inducing Point Networks and Neural Processes R. Rastogi Yair Schiff Alon Hacohen Zhaozhi Li I-Hsiang Lee Yuntian Deng M. Sabuncu Volodymyr Kuleshov 3DPC 29 6 0 24 May 2022
Variable-Input Deep Operator Networks Michael Prasthofer Tim De Ryck Siddhartha Mishra 48 23 0 23 May 2022
Neuro-Symbolic Regex Synthesis Framework via Neural Example Splitting Su-Hyeon Kim Hyunjoon Cheon Yo-Sub Han Sang-Ki Ko NAI 13 0 0 20 May 2022
Simple Open-Vocabulary Object Detection with Vision Transformers Matthias Minderer A. Gritsenko Austin Stone Maxim Neumann Dirk Weissenborn ... Zhuoran Shen Tianlin Li Xiaohua Zhai Thomas Kipf N. Houlsby ObjD CLIP VLM ViT OCL 34 307 0 12 May 2022
Approximating Permutations with Neural Network Components for Travelling Photographer Problem S. Chong 12 0 0 30 Apr 2022
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes Derya Soydaner 3DV 44 150 0 27 Apr 2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications Han Cai Ji Lin Chengyue Wu Zhijian Liu Haotian Tang Hanrui Wang Ligeng Zhu Song Han 27 108 0 25 Apr 2022
Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation Nicolas Ugrinovic Adria Ruiz Antonio Agudo Alberto Sanfeliu Francesc Moreno-Noguer 3DH 25 2 0 11 Apr 2022
Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition Axel Berg Magnus Oskarsson Mark O'Connor 3DPC ViT 29 26 0 08 Apr 2022
The Self-Optimal-Transport Feature Transform Daniel Shalam Simon Korman OT 24 22 0 06 Apr 2022
Recommendation of Compatible Outfits Conditioned on Style Debopriyo Banerjee Lucky Dhakad Harsh Maheshwari M. Chelliah Niloy Ganguly Arnab Bhattacharya 18 5 0 30 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 35 32 0 25 Mar 2022
Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds Chenhang He Ruihuang Li Shuai Li Lei Zhang ViT 3DPC 27 163 0 19 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
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 10 6 0 08 Mar 2022
FloorGenT: Generative Vector Graphic Model of Floor Plans for Robotics Ludvig Ericson Patric Jensfelt 3DV 16 2 0 07 Mar 2022
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks Soumyasundar Pal Antonios Valkanas Florence Regol Mark J. Coates SSL 35 16 0 22 Feb 2022
Point cloud completion via structured feature maps using a feedback network Zejia Su Haibin Huang Chongyang Ma Hui Huang Ruizhen Hu 3DPC 31 6 0 17 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 30 2 0 11 Feb 2022
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks Lang Liu M. M. Fard Sen Zhao OOD 31 3 0 04 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
Learned Queries for Efficient Local Attention Moab Arar Ariel Shamir Amit H. Bermano ViT 44 29 0 21 Dec 2021
Set Twister for Single-hop Node Classification Yangze Zhou Vinayak A. Rao Bruno Ribeiro 38 0 0 17 Dec 2021
Routing with Self-Attention for Multimodal Capsule Networks Kevin Duarte Brian Chen Nina Shvetsova Andrew Rouditchenko Samuel Thomas Alexander H. Liu David Harwath James R. Glass Hilde Kuehne M. Shah SSL 29 5 0 01 Dec 2021
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds Georg Bökman Fredrik Kahl Axel Flinth 3DPC 28 19 0 30 Nov 2021
On-Demand Unlabeled Personalized Federated Learning Ohad Amosy G. Eyal Gal Chechik FedML 46 2 0 16 Nov 2021
Attention Mechanisms in Computer Vision: A Survey Meng-Hao Guo Tianhan Xu Jiangjiang Liu Zheng-Ning Liu Peng-Tao Jiang Tai-Jiang Mu Song-Hai Zhang Ralph Robert Martin Ming-Ming Cheng Shimin Hu 19 1,638 0 15 Nov 2021
Multi-Task Neural Processes Donggyun Kim Seongwoong Cho Wonkwang Lee Seunghoon Hong 33 0 0 28 Oct 2021
Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs Jinwoo Kim Saeyoon Oh Seunghoon Hong AI4CE 22 41 0 27 Oct 2021
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation Giorgio Giannone Fattane Pourakpour DRL BDL 22 10 0 23 Oct 2021
Improving Robustness of Malware Classifiers using Adversarial Strings Generated from Perturbed Latent Representations Marek Galovič B. Bosanský Viliam Lisý AAML 22 5 0 22 Oct 2021
Learning Prototype-oriented Set Representations for Meta-Learning D. Guo Longlong Tian Minghe Zhang Mingyuan Zhou H. Zha OOD 27 21 0 18 Oct 2021
Improving Transformers with Probabilistic Attention Keys Tam Nguyen T. Nguyen Dung D. Le Duy Khuong Nguyen Viet-Anh Tran Richard G. Baraniuk Nhat Ho Stanley J. Osher 53 32 0 16 Oct 2021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis Despoina Paschalidou Amlan Kar Maria Shugrina Karsten Kreis Andreas Geiger Sanja Fidler 3DV ViT 38 148 0 07 Oct 2021
Geometric Algebra Attention Networks for Small Point Clouds Matthew Spellings 3DPC 50 12 0 05 Oct 2021
Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding Joo-Kyung Kim Guoyin Wang Sungjin Lee Young-Bum Kim 14 9 0 25 Sep 2021
Integrating Sensing and Communication in Cellular Networks via NR Sidelink Dariush Salami Ramin Hasibi S. Savazzi T. Michoel S. Sigg 27 3 0 15 Sep 2021
Greenformers: Improving Computation and Memory Efficiency in Transformer Models via Low-Rank Approximation Samuel Cahyawijaya 28 12 0 24 Aug 2021
Automated Identification of Cell Populations in Flow Cytometry Data with Transformers Matthias Wödlinger Michael Reiter Lisa Weijler Margarita Maurer-Granofszky A. Schumich ... Stefanie Groeneveld-Krentz Jorge G. Rossi Leonid Karawajew Richard Ratei Michael N. Dworzak MedIm 25 15 0 23 Aug 2021
Learning to Match Features with Seeded Graph Matching Network Hongkai Chen Zixin Luo Jiahui Zhang Lei Zhou Xuyang Bai Zeyu Hu Chiew-Lan Tai Long Quan 17 111 0 19 Aug 2021
Investigating transformers in the decomposition of polygonal shapes as point collections A. Alfieri Yancong Lin Jan van Gemert ViT 3DPC 23 2 0 17 Aug 2021
Perceiver IO: A General Architecture for Structured Inputs & Outputs Andrew Jaegle Sebastian Borgeaud Jean-Baptiste Alayrac Carl Doersch Catalin Ionescu ... Olivier J. Hénaff M. Botvinick Andrew Zisserman Oriol Vinyals João Carreira MLLM VLM GNN 22 567 0 30 Jul 2021
Few-Shot and Continual Learning with Attentive Independent Mechanisms Eugene Lee Cheng-Han Huang Chen-Yi Lee CLL 23 25 0 29 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 34 1 0 05 Jul 2021