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
Tokenize Image as a Set Zigang Geng Mengde Xu Han Hu Shuyang Gu DiffM 58 0 0 20 Mar 2025
Collective Intelligence for 2D Push Manipulations with Mobile Robots So Kuroki T. Matsushima Jumpei Arima Hiroki Furuta Yutaka Matsuo S. Gu Yujin Tang 69 5 0 28 Jan 2025
Quark: Real-time, High-resolution, and General Neural View Synthesis John Flynn Michael Broxton Lukas Murmann Lucy Chai Matthew DuVall ... Supreeth Achar Kira Prabhu Tiancheng Sun Lynn Tsai Ryan S. Overbeck 81 1 0 25 Nov 2024
Active Evaluation Acquisition for Efficient LLM Benchmarking Yang Li Jie Ma Miguel Ballesteros Yassine Benajiba Graham Horwood ELM 34 1 0 08 Oct 2024
Variable Assignment Invariant Neural Networks for Learning Logic Programs Yin Jun Phua Katsumi Inoue 27 0 0 20 Aug 2024
LayerShuffle: Enhancing Robustness in Vision Transformers by Randomizing Layer Execution Order Matthias Anton Freiberger Peter Kun A. Løvlie Sebastian Risi 44 0 0 05 Jul 2024
Constant Memory Attention Block Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 25 0 0 21 Jun 2023
Attention to Mean-Fields for Particle Cloud Generation Benno Kach I. Melzer-Pellmann DiffM 24 15 0 24 May 2023
FIT: Far-reaching Interleaved Transformers Ting-Li Chen Lala Li 32 12 0 22 May 2023
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding Mingliang Zhai Yulin Li Xiameng Qin Chen Yi Qunyi Xie Chengquan Zhang Kun Yao Yuwei Wu Yunde Jia 35 8 0 19 May 2023
Exploring the Space of Key-Value-Query Models with Intention M. Garnelo Wojciech M. Czarnecki 43 7 0 17 May 2023
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting Ryo Umagami Yusuke Ono Yusuke Mukuta Tatsuya Harada AI4TS 45 3 0 14 May 2023
Human Semantic Segmentation using Millimeter-Wave Radar Sparse Point Clouds Pengfei Song Luoyu Mei H. Cheng 22 3 0 27 Apr 2023
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance Jonathan Crabbé M. Schaar AAML 24 6 0 13 Apr 2023
Graph-level representations using ensemble-based readout functions Jakub Binkowski Albert Sawczyn Denis Janiak Piotr Bielak Tomasz Kajdanowicz 25 3 0 03 Mar 2023
Keyword Decisions in Sponsored Search Advertising: A Literature Review and Research Agenda Yanwu Yang Huiran Li 27 12 0 24 Feb 2023
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning Adam X. Yang Laurence Aitchison Henry B. Moss 29 4 0 22 Feb 2023
Cluster-Guided Label Generation in Extreme Multi-Label Classification Taehee Jung Joo-Kyung Kim Sungjin Lee Dongyeop Kang VLM 26 6 0 17 Feb 2023
In-Context Learning with Many Demonstration Examples Mukai Li Shansan Gong Jiangtao Feng Yiheng Xu Jinchao Zhang Zhiyong Wu Lingpeng Kong 40 32 0 09 Feb 2023
Neural Architecture Search: Insights from 1000 Papers Colin White Mahmoud Safari R. Sukthanker Binxin Ru T. Elsken Arber Zela Debadeepta Dey Frank Hutter 3DV AI4CE 36 130 0 20 Jan 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction Khai Nguyen Dang Nguyen N. Ho 37 9 0 12 Jan 2023
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations Xuewen Tao Mingming Ha Xiaobo Guo Qiongxu Ma Ho Kei Cheng Wenfang Lin 21 0 0 06 Jan 2023
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models Yufeng Zhang Boyi Liu Qi Cai Lingxiao Wang Zhaoran Wang 53 11 0 30 Dec 2022
Multimodal Sequential Generative Models for Semi-Supervised Language Instruction Following K. Akuzawa Yusuke Iwasawa Yutaka Matsuo GAN 35 0 0 29 Dec 2022
Scalable Adaptive Computation for Iterative Generation Allan Jabri David Fleet Ting-Li Chen DiffM 35 107 0 22 Dec 2022
Set-Transformer BeamsNet for AUV Velocity Forecasting in Complete DVL Outage Scenarios Nadav Cohen Zeev Yampolsky Itzik Klein 30 12 0 22 Dec 2022
Generalizing Multimodal Variational Methods to Sets Jinzhao Zhou Yiqun Duan Zhihong Chen Yu-Cheng Chang Chin-Teng Lin DRL 50 0 0 19 Dec 2022
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence Jian Guo Saizhuo Wang L. Ni H. Shum AIFin 24 8 0 13 Dec 2022
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula Eli Bronstein S. Srinivasan Supratik Paul Aman Sinha Matthew O'Kelly Payam Nikdel Shimon Whiteson OffRL 8 18 0 02 Dec 2022
Multi-Modal Few-Shot Temporal Action Detection Sauradip Nag Mengmeng Xu Xiatian Zhu Juan-Manuel Perez-Rua Guohao Li Yi-Zhe Song Tao Xiang VLM 30 6 0 27 Nov 2022
PS-Transformer: Learning Sparse Photometric Stereo Network using Self-Attention Mechanism Satoshi Ikehata ViT 3DPC 34 26 0 21 Nov 2022
Evaluating generative models in high energy physics Raghav Kansal Anni Li Javier Mauricio Duarte N. Chernyavskaya M. Pierini B. Orzari T. Tomei MedIm 23 34 0 18 Nov 2022
Permutation-Invariant Tabular Data Synthesis Yujin Zhu Zilong Zhao Robert Birke L. Chen 31 2 0 17 Nov 2022
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation Kai-Qi Huang Mingfei Cheng Yang Wang Bochen Wang Ye Xi Feigege Wang Peng Chen 33 2 0 02 Nov 2022
MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic Jonas Rothfuss Andreas Krause BDL 37 4 0 24 Oct 2022
Inference from Real-World Sparse Measurements Arnaud Pannatier Kyle Matoba François Fleuret AI4TS 28 0 0 20 Oct 2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving Eli Bronstein Mark Palatucci Dominik Notz Brandyn White Alex Kuefler ... Punit Shah Evan Racah Benjamin Frenkel Shimon Whiteson Drago Anguelov 47 58 0 18 Oct 2022
Neural Attentive Circuits Nasim Rahaman M. Weiß Francesco Locatello C. Pal Yoshua Bengio Bernhard Schölkopf Erran L. Li Nicolas Ballas 32 6 0 14 Oct 2022
DARTFormer: Finding The Best Type Of Attention Jason Brown Yiren Zhao Ilia Shumailov Robert D. Mullins 32 6 0 02 Oct 2022
Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian Oswin So Gongjie Li Evangelos A. Theodorou Molei Tao AI4CE 35 3 0 30 Sep 2022
ESTA: An Esports Trajectory and Action Dataset Peter Xenopoulos Claudio Silva AI4TS 41 8 0 20 Sep 2022
Equivariant Hypergraph Neural Networks Jinwoo Kim Saeyoon Oh Sungjun Cho Seunghoon Hong 27 12 0 22 Aug 2022
Learning to Improve Code Efficiency Bing Chen Daniel Tarlow Kevin Swersky Martin Maas P. Heiber Ashish Naik Milad Hashemi Parthasarathy Ranganathan 26 9 0 09 Aug 2022
Effective and Interpretable Information Aggregation with Capacity Networks Markus Zopf 32 0 0 25 Jul 2022
Residual and Attentional Architectures for Vector-Symbols W. Olin-Ammentorp 22 3 0 18 Jul 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 43 17 0 05 Jul 2022
Learning Functions on Multiple Sets using Multi-Set Transformers Kira A. Selby Ahmad Rashid I. Kobyzev Mehdi Rezagholizadeh Pascal Poupart ViT 30 1 0 30 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
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
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs Dongjin Lee Kijung Shin 38 37 0 09 Jun 2022