Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,441 papers shown

Title
Text2Model: Text-based Model Induction for Zero-shot Image Classification Ohad Amosy Tomer Volk Eilam Shapira Eyal Ben-David Roi Reichart Gal Chechik VLM 32 0 0 27 Oct 2022
Mean-field neural networks: learning mappings on Wasserstein space H. Pham X. Warin 39 13 0 27 Oct 2022
CoLoC: Conditioned Localizer and Classifier for Sound Event Localization and Detection Slawomir Kapka J. Tkaczuk 23 0 0 25 Oct 2022
Subspace Representations for Soft Set Operations and Sentence Similarities Yoichi Ishibashi Sho Yokoi Katsuhito Sudoh Satoshi Nakamura NAI 36 1 0 24 Oct 2022
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior Yohan Jung Jinkyoo Park BDL 28 0 0 22 Oct 2022
Machine-Learning Compression for Particle Physics Discoveries J. Collins Yifeng Huang S. Knapen Benjamin Nachman D. Whiteson 43 4 0 20 Oct 2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection A. De Soumen Chakrabarti 34 4 0 20 Oct 2022
An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries Aryan Pedawi P. Gniewek Chao-Ling Chang Brandon M. Anderson H. V. D. Bedem 41 5 0 19 Oct 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 44 85 0 18 Oct 2022
A Practical, Progressively-Expressive GNN Lingxiao Zhao Louis Härtel Neil Shah Leman Akoglu 37 17 0 18 Oct 2022
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction L. Jin Shixuan Gu D. Wei Jason Ken Adhinarta Kaiming Kuang Yongjie Jessica Zhang Hanspeter Pfister Bingbing Ni Jiancheng Yang Ming Li 3DPC 27 15 0 18 Oct 2022
A tradeoff between universality of equivariant models and learnability of symmetries Vasco Portilheiro 40 2 0 17 Oct 2022
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation Chenning Yu Hong-Den Yu Sicun Gao 44 17 0 17 Oct 2022
Improving Object-centric Learning with Query Optimization Baoxiong Jia Yu Liu Siyuan Huang OCL 31 49 0 17 Oct 2022
Private Data Valuation and Fair Payment in Data Marketplaces Zhihua Tian Jian-wei Liu Jia-Nan Li Xinle Cao R. Jia Jun Kong Mengdi Liu Kui Ren TDI 23 12 0 17 Oct 2022
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks Renan A. Rojas-Gomez Teck-Yian Lim Alex Schwing Minh Do Raymond A. Yeh 47 9 0 14 Oct 2022
RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer Mogan Gim Donghee Choi Kana Maruyama Jihun Choi Hajung Kim Donghyeon Park Jaewoo Kang 48 5 0 14 Oct 2022
Why self-attention is Natural for Sequence-to-Sequence Problems? A Perspective from Symmetries Chao Ma Lexing Ying 27 2 0 13 Oct 2022
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment Liyuan Xu Arthur Gretton CML BDL 24 8 0 12 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based Models Ruixiang Zhang Tong Che Boris Ivanovic Renhao Wang Marco Pavone Yoshua Bengio Liam Paull OCL 41 8 0 11 Oct 2022
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers Ayush Khot Mark S. Neubauer Avik Roy AAML 50 16 0 09 Oct 2022
LieGG: Studying Learned Lie Group Generators A. Moskalev A. Sepliarskaia Ivan Sosnovik A. Smeulders 33 23 0 09 Oct 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative Tianxin Wei Yuning You Tianlong Chen Yang Shen Jingrui He Zhangyang Wang 46 46 0 07 Oct 2022
Design Amortization for Bayesian Optimal Experimental Design Noble Kennamer Steven Walton Alexander Ihler 21 5 0 07 Oct 2022
Set2Box: Similarity Preserving Representation Learning of Sets Geon Lee Chanyoung Park Kijung Shin 18 2 0 07 Oct 2022
Multi-objective optimization via equivariant deep hypervolume approximation Jim Boelrijk B. Ensing Patrick Forré 29 3 0 05 Oct 2022
ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives Ge Li Zeqian Jin Michael Volpp Fabian Otto Rudolf Lioutikov Gerhard Neumann Karlsruhe Institute of Technology MU 24 38 0 04 Oct 2022
Mastering Spatial Graph Prediction of Road Networks Sotiris Anagnostidis Aurelien Lucchi Thomas Hofmann GNN 32 1 0 03 Oct 2022
Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement Zirui Zhao W. Lee David Hsu OOD 37 9 0 01 Oct 2022
Machine learning and invariant theory Ben Blum-Smith Soledad Villar AI4CE 44 16 0 29 Sep 2022
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations Grégoire Mialon Randall Balestriero Yann LeCun 37 9 0 29 Sep 2022
In Search of Projectively Equivariant Networks Georg Bökman Axel Flinth Fredrik Kahl 59 0 0 29 Sep 2022
A Multi-scale Graph Signature for Persistence Diagrams based on Return Probabilities of Random Walks Chau Pham Trung D. Q. Dang Peter Chin 78 1 0 28 Sep 2022
Reasoning over Multi-view Knowledge Graphs Zhaohan Xi Ren Pang Changjiang Li Tianyu Du S. Ji Fenglong Ma Ting Wang 38 4 0 27 Sep 2022
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion Fabian Duffhauss Ngo Anh Vien Hanna Ziesche Gerhard Neumann 38 4 0 22 Sep 2022
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review Guixiang Ma Vy A. Vo Ted Willke Nesreen Ahmed 48 1 0 22 Sep 2022
ESTA: An Esports Trajectory and Action Dataset Peter Xenopoulos Claudio Silva AI4TS 41 8 0 20 Sep 2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL Fengzhuo Zhang Boyi Liu Kaixin Wang Vincent Y. F. Tan Zhuoran Yang Zhaoran Wang OffRL LRM 51 10 0 20 Sep 2022
Understanding reinforcement learned crowds Ariel Kwiatkowski Vicky Kalogeiton Julien Pettré Marie-Paule Cani 24 10 0 19 Sep 2022
Sequence-to-Set Generative Models Longtao Tang Ying Zhou Yu Yang 11 0 0 19 Sep 2022
Distribution inference risks: Identifying and mitigating sources of leakage Valentin Hartmann Léo Meynent Maxime Peyrard Dimitrios Dimitriadis Shruti Tople Robert West MIACV 31 14 0 18 Sep 2022
Fixed-Point Centrality for Networks Shuang Gao 27 0 0 15 Sep 2022
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks Hyungeun Lee Kijung Yoon AI4CE 36 2 0 14 Sep 2022
A patch-based architecture for multi-label classification from single label annotations Warren Jouanneau Aurélie Bugeau Marc Palyart Nicolas Papadakis Laurent Vézard 28 0 0 14 Sep 2022
DM $^2$ S $^2$ : Deep Multi-Modal Sequence Sets with Hierarchical Modality Attention Shunsuke Kitada Yuki Iwazaki Riku Togashi Hitoshi Iyatomi 26 1 0 07 Sep 2022
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning Diyi Hu Chi Zhang Viktor Prasanna Krishnamachari 29 2 0 02 Sep 2022
A Class-Aware Representation Refinement Framework for Graph Classification Jiaxing Xu Jinjie Ni Yiping Ke GNN 34 4 0 02 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 87 24 0 01 Sep 2022
Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search S. Hemati Shivam Kalra Morteza Babaie H. R. Tizhoosh 35 11 0 29 Aug 2022
Goal-Conditioned Q-Learning as Knowledge Distillation Alexander Levine S. Feizi OffRL 27 2 0 28 Aug 2022