Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,439 papers shown

Title
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 31 5 0 26 Aug 2024
Amortized Bayesian Multilevel Models Daniel Habermann Marvin Schmitt Lars Kühmichel Andreas Bulling Stefan T. Radev Paul-Christian Burkner 54 3 0 23 Aug 2024
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings Milan Papež Martin Rektoris Václav Šmídl Tomáš Pevný TPM 47 0 0 18 Aug 2024
Optimal Symmetries in Binary Classification Vishal S. Ngairangbam M. Spannowsky 34 1 0 16 Aug 2024
Snuffy: Efficient Whole Slide Image Classifier Hossein Jafarinia Alireza Alipanah Danial Hamdi Saeed Razavi Nahal Mirzaie M. Rohban 3DH 40 1 0 15 Aug 2024
Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach Shizhou Zhang Wenlong Luo De-Chun Cheng Qingchun Yang Lingyan Ran Yinghui Xing Yanning Zhang VOS 26 3 0 14 Aug 2024
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks Yoav Gelberg Tycho F. A. van der Ouderaa Mark van der Wilk Y. Gal AAML 35 4 0 10 Aug 2024
M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction Hui Luo Jiashuang Huang Hengrong Ju Tianyi Zhou Weiping Ding 30 0 0 08 Aug 2024
Local Topology Measures of Contextual Language Model Latent Spaces With Applications to Dialogue Term Extraction Benjamin Matthias Ruppik Michael Heck Carel van Niekerk Renato Vukovic Hsien-chin Lin Shutong Feng Marcus Zibrowius Milica Gašić 37 2 0 07 Aug 2024
Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks Zepeng Zhang Olga Fink GNN 29 1 0 05 Aug 2024
On-the-fly Point Feature Representation for Point Clouds Analysis Jiangyi Wang Zhongyao Cheng Na Zhao Jun Cheng Xulei Yang 3DPC 29 2 0 31 Jul 2024
HyperMM : Robust Multimodal Learning with Varying-sized Inputs Hava Chaptoukaev Vincenzo Marcianó Francesco Galati Maria A. Zuluaga 25 0 0 30 Jul 2024
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights Xiang-Rong Sheng Feifan Yang Litong Gong Biao Wang Zhangming Chan ... Tiezheng Ge Han Zhu Yuning Jiang Jian Xu Bo Zheng 31 2 0 28 Jul 2024
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences Runpeng Dai Jianing Wang Fan Zhou S. Luo Zhiwei Qin Chengchun Shi Hongtu Zhu CML OffRL 22 0 0 25 Jul 2024
What Matters in Range View 3D Object Detection Benjamin Wilson Nicholas Autio Mitchell J. K. Pontes James Hays 3DPC AI4TS 38 0 0 23 Jul 2024
Robust Meta-Learning of Vehicle Yaw Rate Dynamics via Conditional Neural Processes Lars Ullrich Andreas Völz Knut Graichen 30 1 0 09 Jul 2024
Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts Moritz Feik Sebastian Lerch Jan Stühmer 16 0 0 08 Jul 2024
Forest2Seq: Revitalizing Order Prior for Sequential Indoor Scene Synthesis Qi Sun Hang Zhou Wengang Zhou Li Li Houqiang Li 3DPC 3DV 38 6 0 07 Jul 2024
Learning Geometric Invariant Features for Classification of Vector Polygons with Graph Message-passing Neural Network Zexian Huang K. Khoshelham Martin Tomko 37 1 0 05 Jul 2024
Neural Networks Trained by Weight Permutation are Universal Approximators Yongqiang Cai Gaohang Chen Zhonghua Qiao 66 1 0 01 Jul 2024
Improving Hyperparameter Optimization with Checkpointed Model Weights Nikhil Mehta Jonathan Lorraine Steve Masson Ramanathan Arunachalam Zaid Pervaiz Bhat James Lucas Arun George Zachariah 41 4 0 26 Jun 2024
Univariate Skeleton Prediction in Multivariate Systems Using Transformers Giorgio Morales John W. Sheppard 32 1 0 25 Jun 2024
The Balanced-Pairwise-Affinities Feature Transform Daniel Shalam Simon Korman 33 0 0 25 Jun 2024
Consensus Learning with Deep Sets for Essential Matrix Estimation Dror Moran Yuval Margalit Guy Trostianetsky Fadi Khatib Meirav Galun Ronen Basri 3DV 43 0 0 25 Jun 2024
An All-MLP Sequence Modeling Architecture That Excels at Copying Chenwei Cui Zehao Yan Gedeon Muhawenayo Hannah Kerner 20 0 0 23 Jun 2024
Database-Augmented Query Representation for Information Retrieval Soyeong Jeong Jinheon Baek Sukmin Cho Sung Ju Hwang Jong C. Park 37 2 0 23 Jun 2024
Efficient Graph Similarity Computation with Alignment Regularization Wei Zhuo Guang Tan 27 17 0 21 Jun 2024
Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering Chongzhi Zhang Zhiping Peng Junhao Zheng Linghao Wang Ruifeng Shi Qianli Ma 36 1 0 21 Jun 2024
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization Deokjae Lee Hyun Oh Song Kyunghyun Cho OffRL 38 0 0 21 Jun 2024
In-Context In-Context Learning with Transformer Neural Processes Matthew Ashman Cristiana-Diana Diaconu Adrian Weller Richard E. Turner 26 3 0 19 Jun 2024
Approximately Equivariant Neural Processes Matthew Ashman Cristiana-Diana Diaconu Adrian Weller W. Bruinsma Richard E. Turner BDL 34 1 0 19 Jun 2024
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 38 2 0 18 Jun 2024
Learning Diffusion at Lightspeed Antonio Terpin Nicolas Lanzetti Florian Dorfler DiffM 35 6 0 18 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations Danial Saber Amirali Salehi-Abari 24 1 0 17 Jun 2024
Scale Equivariant Graph Metanetworks Ioannis Kalogeropoulos Giorgos Bouritsas Yannis Panagakis 44 6 0 15 Jun 2024
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening Guy Bar-Shalom Yam Eitan Fabrizio Frasca Haggai Maron 32 1 0 13 Jun 2024
AlphaZeroES: Direct score maximization outperforms planning loss minimization Carlos Martin Tuomas Sandholm 25 0 0 12 Jun 2024
Noise-Aware Differentially Private Regression via Meta-Learning Ossi Raisa Stratis Markou Matthew Ashman W. Bruinsma Marlon Tobaben Antti Honkela Richard E. Turner 64 1 0 12 Jun 2024
Non-autoregressive Personalized Bundle Generation Wenchuan Yang Cheng Yang Jichao Li Yuejin Tan Xin Lu Chuan Shi 28 0 0 11 Jun 2024
On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson Nadav Dym 45 0 0 11 Jun 2024
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach Georgios Tsoumplekas C. Athanasiadis Dimitrios I. Doukas Antonios C. Chrysopoulos P. Mitkas AI4TS 32 3 0 09 Jun 2024
What Can We Learn from State Space Models for Machine Learning on Graphs? Yinan Huang Siqi Miao Pan Li 41 7 0 09 Jun 2024
Particle Multi-Axis Transformer for Jet Tagging Muhammad Usman M. Shahid Maheen Ejaz Ummay Hani Nayab Fatima Abdul Rehman Khan Asifullah Khan Nasir Majid Mirza 24 3 0 09 Jun 2024
Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images Heming Yao Phil Hanslovsky Jan-Christian Huetter Burkhard Hoeckendorf David Richmond 19 3 0 08 Jun 2024
A Universal Class of Sharpness-Aware Minimization Algorithms B. Tahmasebi Ashkan Soleymani Dara Bahri Stefanie Jegelka P. Jaillet AAML 47 2 0 06 Jun 2024
Meta-learning for Positive-unlabeled Classification Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 25 1 0 06 Jun 2024
Topological Neural Networks go Persistent, Equivariant, and Continuous Yogesh Verma Amauri H Souza Vikas K. Garg AI4CE 38 4 0 05 Jun 2024
Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation Enrichment Wenliang Zhong Wenyi Wu Qi Li Rob Barton Boxin Du Shioulin Sam Karim Bouyarmane Ismail B. Tutar Junzhou Huang 25 3 0 05 Jun 2024
GEFL: Extended Filtration Learning for Graph Classification Simon Zhang Soham Mukherjee T. Dey 43 10 0 04 Jun 2024
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization Jixiang Qing Becky D Langdon Robert M. Lee B. Shafei Mark van der Wilk Calvin Tsay Ruth Misener 32 1 0 04 Jun 2024