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"

43 / 193 papers shown

Title
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 26 85 0 06 Jul 2020
Object-Centric Learning with Slot Attention Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran G. Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf OCL 39 818 0 26 Jun 2020
Set Based Stochastic Subsampling Bruno Andreis Seanie Lee A. Nguyen Juho Lee Eunho Yang Sung Ju Hwang BDL 17 0 0 25 Jun 2020
Self-supervised edge features for improved Graph Neural Network training Arijit Sehanobish N. Ravindra David van Dijk SSL 18 6 0 23 Jun 2020
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks Arijit Sehanobish N. Ravindra David van Dijk SSL 20 16 0 23 Jun 2020
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning M. Song Jaehong Yoon Eunho Yang Sung Ju Hwang 6 1 0 22 Jun 2020
Predicting Temporal Sets with Deep Neural Networks Le Yu Leilei Sun Bowen Du Chuanren Liu Hui Xiong Weifeng Lv 22 42 0 20 Jun 2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning Shariq Iqbal Christian Schroeder de Witt Bei Peng Wendelin Bohmer Shimon Whiteson Fei Sha 29 64 0 07 Jun 2020
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization Quentin Cappart Thierry Moisan Louis-Martin Rousseau Isabeau Prémont-Schwarz A. Ciré 26 138 0 02 Jun 2020
Studying The Effect of MIL Pooling Filters on MIL Tasks Mustafa Umit Oner Jared Marc Song Kye-Jet H. Lee Wing-Kin Sung 19 5 0 02 Jun 2020
End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors Shota Horiguchi Yusuke Fujita Shinji Watanabe Yawen Xue Kenji Nagamatsu 37 186 0 20 May 2020
Efficient Image Gallery Representations at Scale Through Multi-Task Learning Benjamin Gutelman Pavel Levin 22 3 0 18 May 2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients S. Hu Pablo G. Moreno Yanghua Xiao Xin Shen G. Obozinski Neil D. Lawrence Andreas C. Damianou BDL 30 125 0 27 Apr 2020
Towards Differentiable Resampling Michael Zhu Kevin Patrick Murphy Rico Jonschkowski 11 27 0 24 Apr 2020
Extreme Multi-label Classification from Aggregated Labels Yanyao Shen Hsiang-Fu Yu Sujay Sanghavi Inderjit Dhillon 16 8 0 01 Apr 2020
Compact Deep Aggregation for Set Retrieval Yujie Zhong Relja Arandjelović Andrew Zisserman CVBM 3DH 29 14 0 26 Mar 2020
Reinforcement Learning for Combinatorial Optimization: A Survey Nina Mazyavkina S. Sviridov Sergei Ivanov Evgeny Burnaev 41 603 0 07 Mar 2020
Capsules with Inverted Dot-Product Attention Routing Yao-Hung Hubert Tsai Nitish Srivastava Hanlin Goh Ruslan Salakhutdinov 14 81 0 12 Feb 2020
Inductive Document Network Embedding with Topic-Word Attention Robin Brochier Adrien Guille Julien Velcin 18 10 0 10 Jan 2020
Geometric Capsule Autoencoders for 3D Point Clouds Nitish Srivastava Hanlin Goh Ruslan Salakhutdinov 3DPC 11 22 0 06 Dec 2019
SuperGlue: Learning Feature Matching with Graph Neural Networks Paul-Edouard Sarlin Daniel DeTone Tomasz Malisiewicz Andrew Rabinovich 3DPC OffRL 17 1,888 0 26 Nov 2019
Representation Learning with Multisets Vasco Portilheiro SSL 21 0 0 19 Nov 2019
Learning Permutation Invariant Representations using Memory Networks Shivam Kalra Mohammed Adnan Graham W. Taylor Hamid Tizhoosh 27 24 0 18 Nov 2019
Unsupervised Attributed Multiplex Network Embedding Chanyoung Park Donghyun Kim Jiawei Han Hwanjo Yu 35 249 0 15 Nov 2019
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms Caihua Shan N. Mamoulis Reynold Cheng Guoliang Li Xiang Li Yuqiu Qian OffRL 14 21 0 04 Nov 2019
Exchangeable deep neural networks for set-to-set matching and learning Yuki Saito Takuma Nakamura Hirotaka Hachiya Kenji Fukumizu 13 2 0 22 Oct 2019
You May Not Need Order in Time Series Forecasting Yunkai Zhang Qiao Jiang Shurui Li Xiaoyong Jin Xueying Ma Xifeng Yan AI4TS 21 3 0 21 Oct 2019
Set Functions for Time Series Max Horn Michael Moor Christian Bock Bastian Alexander Rieck Karsten M. Borgwardt AI4TS 38 146 0 26 Sep 2019
Deep Message Passing on Sets Yifeng Shi Junier Oliva Marc Niethammer PINN 16 9 0 21 Sep 2019
Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel Yao-Hung Hubert Tsai Shaojie Bai M. Yamada Louis-Philippe Morency Ruslan Salakhutdinov 18 249 0 30 Aug 2019
Universal Pooling -- A New Pooling Method for Convolutional Neural Networks Junhyuk Hyun Hongje Seong Euntai Kim 15 26 0 26 Jul 2019
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning F. Fuchs Adam R. Kosiorek Li Sun Oiwi Parker Jones Ingmar Posner VOT 28 12 0 12 Jul 2019
Learning Set-equivariant Functions with SWARM Mappings Roland Vollgraf 13 3 0 22 Jun 2019
Stacked Capsule Autoencoders Adam R. Kosiorek S. Sabour Yee Whye Teh Geoffrey E. Hinton OCL 14 262 0 17 Jun 2019
MxML: Mixture of Meta-Learners for Few-Shot Classification Minseop Park Jungtaek Kim Saehoon Kim Yanbin Liu Seungjin Choi OODD 25 8 0 11 Apr 2019
Rep the Set: Neural Networks for Learning Set Representations Konstantinos Skianis Giannis Nikolentzos Stratis Limnios Michalis Vazirgiannis OCL 19 45 0 03 Apr 2019
On Deep Set Learning and the Choice of Aggregations Maximilian Sölch A. Akhundov Patrick van der Smagt Justin Bayer TDI 27 19 0 18 Mar 2019
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks Kuan Fang Alexander Toshev Li Fei-Fei Silvio Savarese OffRL 13 200 0 09 Mar 2019
Exchangeable Generative Models with Flow Scans Christian Bender Kevin O'Connor Yang Li J. Garcia Manzil Zaheer Junier Oliva 3DPC 13 4 0 05 Feb 2019
On the Limitations of Representing Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Ingmar Posner Michael A. Osborne 33 163 0 25 Jan 2019
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents Thomas Wolf Victor Sanh Julien Chaumond Clement Delangue 40 493 0 23 Jan 2019
Neural Clustering Processes Ari Pakman Yueqi Wang Catalin Mitelut JinHyung Lee Liam Paninski BDL 14 5 0 28 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 460 11,715 0 09 Mar 2017