Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,439 papers shown

Title
RoTaR: Efficient Row-Based Table Representation Learning via Teacher-Student Training Zui Chen Lei Cao S. Madden 22 0 0 20 Jun 2023
CAT-Walk: Inductive Hypergraph Learning via Set Walks Ali Behrouz Farnoosh Hashemi Sadaf Sadeghian Margo Seltzer 31 16 0 19 Jun 2023
Practical Equivariances via Relational Conditional Neural Processes Daolang Huang Manuel Haussmann Ulpu Remes S. T. John Grégoire Clarté K. Luck Samuel Kaski Luigi Acerbi BDL 60 8 0 19 Jun 2023
P-tensors: a General Formalism for Constructing Higher Order Message Passing Networks Tianyi Sun Andrew R. Hands Risi Kondor 21 2 0 19 Jun 2023
$E(2)$ -Equivariant Vision Transformer Renjun Xu Kaifan Yang Ke Liu Fengxiang He ViT MDE 19 9 0 11 Jun 2023
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem Tal Amir S. Gortler Ilai Avni Ravi Ravina Nadav Dym 97 23 0 10 Jun 2023
EventCLIP: Adapting CLIP for Event-based Object Recognition Ziyi Wu Xudong Liu Igor Gilitschenski VLM 26 15 0 10 Jun 2023
Any-dimensional equivariant neural networks Eitan Levin Mateo Díaz 21 6 0 10 Jun 2023
A Graph Dynamics Prior for Relational Inference Liming Pan Chengzhi Shi Ivan Dokmanić AI4CE 27 3 0 09 Jun 2023
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification Abihith Kothapalli Ashkan Shahbazi Xinran Liu Robert Sheng Soheil Kolouri 3DPC 11 2 0 08 Jun 2023
Scaling Spherical CNNs Carlos Esteves Jean-Jacques E. Slotine A. Makadia GNN LRM 19 14 0 08 Jun 2023
Representing and Learning Functions Invariant Under Crystallographic Groups Ryan P. Adams Peter Orbanz 15 4 0 08 Jun 2023
Neural Embeddings for Protein Graphs Francesco Ceccarelli Lorenzo Giusti S. Holden Pietro Lio' 20 0 0 07 Jun 2023
High-dimensional and Permutation Invariant Anomaly Detection Vinicius Mikuni Benjamin Nachman DiffM 19 16 0 06 Jun 2023
Representational Strengths and Limitations of Transformers Clayton Sanford Daniel J. Hsu Matus Telgarsky 22 81 0 05 Jun 2023
Knowledge Graph Reasoning over Entities and Numerical Values Jiaxin Bai Cheng-hsin Luo Zheng Li Qingyu Yin Bing Yin Yangqiu Song 16 14 0 02 Jun 2023
UNGOML: Automated Classification of unsafe Usages in Go A. Wickert C. Damke Lars Baumgärtner Eyke Hüllermeier Mira Mezini 13 0 0 01 Jun 2023
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations Robert J. Moss Anthony Corso J. Caers Mykel J. Kochenderfer 15 7 0 31 May 2023
What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization Yufeng Zhang Fengzhuo Zhang Zhuoran Yang Zhaoran Wang BDL 36 62 0 30 May 2023
Contextual Vision Transformers for Robust Representation Learning Yu Bao Theofanis Karaletsos ViT 21 13 0 30 May 2023
Group Invariant Global Pooling Kamil Bujel Yonatan Gideoni Chaitanya K. Joshi Pietro Lio' 37 0 0 30 May 2023
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation Minki Kang Jin Myung Kwak Jinheon Baek Sung Ju Hwang RALM 14 57 0 30 May 2023
Autoencoding Conditional Neural Processes for Representation Learning Victor Prokhorov Ivan Titov N. Siddharth BDL 16 0 0 29 May 2023
Investigating how ReLU-networks encode symmetries Georg Bökman Fredrik Kahl 24 6 0 26 May 2023
Data-Driven Games in Computational Mechanics K. Weinberg L. Stainier S. Conti M. Ortiz 11 3 0 26 May 2023
A Closer Look at In-Context Learning under Distribution Shifts Kartik Ahuja David Lopez-Paz 32 14 0 26 May 2023
Universal Approximation and the Topological Neural Network M. Kouritzin Daniel Richard 21 0 0 26 May 2023
A Score-Based Model for Learning Neural Wavefunctions Xuan Zhang Shenglong Xu Shuiwang Ji DiffM 25 1 0 25 May 2023
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning Zhe Huang B. Wessler M. C. Hughes 22 3 0 25 May 2023
Making Vision Transformers Truly Shift-Equivariant Renan A. Rojas-Gomez Teck-Yian Lim Minh N. Do Raymond A. Yeh ViT 25 7 0 25 May 2023
Learning Robust Statistics for Simulation-based Inference under Model Misspecification Daolang Huang Ayush Bharti Amauri Souza Luigi Acerbi Samuel Kaski 40 30 0 25 May 2023
Deep Stochastic Processes via Functional Markov Transition Operators Jin Xu Emilien Dupont Kaspar Martens Tom Rainforth Yee Whye Teh 25 4 0 24 May 2023
Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation Jie Bu Kazi Sajeed Mehrab Anuj Karpatne 21 3 0 24 May 2023
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation Richard Gao Michael Deistler Jakob H. Macke 22 11 0 24 May 2023
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding Nicolas Keriven Samuel Vaiter 34 11 0 24 May 2023
gRNAde: Geometric Deep Learning for 3D RNA inverse design Chaitanya K. Joshi Arian R. Jamasb Ramón Viñas Charles Harris Simon V. Mathis Alex Morehead Rishabh Anand Pietro Lió 24 13 0 24 May 2023
Memory Efficient Neural Processes via Constant Memory Attention Block Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 25 5 0 23 May 2023
Neural Functional Transformers Allan Zhou Kaien Yang Yiding Jiang Kaylee Burns Winnie Xu Samuel Sokota J. Zico Kolter Chelsea Finn 18 31 0 22 May 2023
Semantic Segmentation of Radar Detections using Convolutions on Point Clouds Marco Braun Alessandro Cennamo Markus Schoeler Kevin Kollek A. Kummert 3DPC 13 2 0 22 May 2023
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? Bing-Quan Liu Wei Luo Gang Li Jing Huang Boxiong Yang AI4CE 18 5 0 20 May 2023
ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention J. Yip Tuan Truong Dianwen Ng Chong Zhang Yukun Ma Trung Hieu Nguyen Chongjia Ni Shengkui Zhao Chng Eng Siong Bin Ma 17 2 0 20 May 2023
SIDAR: Synthetic Image Dataset for Alignment & Restoration Monika Kwiatkowski Simon Matern Olaf Hellwich 28 3 0 19 May 2023
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics Yivan Zhang Masashi Sugiyama 22 1 0 19 May 2023
Clifford Group Equivariant Neural Networks David Ruhe Johannes Brandstetter Patrick Forré 26 35 0 18 May 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks Federico Errica Mathias Niepert TPM 25 4 0 17 May 2023
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs Daniel de Souza Severo James Townsend Ashish Khisti Alireza Makhzani 29 2 0 16 May 2023
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting Ryo Umagami Yusuke Ono Yusuke Mukuta Tatsuya Harada AI4TS 37 3 0 14 May 2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling Dixian Zhu Bokun Wang Zhi Chen Yaxing Wang Milan Sonka Xiaodong Wu Tianbao Yang 16 3 0 14 May 2023
Fisher Information Embedding for Node and Graph Learning Dexiong Chen Paolo Pellizzoni Karsten M. Borgwardt GNN 18 2 0 12 May 2023
AudioSlots: A slot-centric generative model for audio separation P. Reddy Scott Wisdom Klaus Greff J. Hershey Thomas Kipf OCL VLM 20 6 0 09 May 2023