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1703.06114
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Deep Sets
10 March 2017
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
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Papers citing
"Deep Sets"
50 / 1,556 papers shown
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Quantification using Permutation-Invariant Networks based on Histograms
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190
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22 Mar 2024
Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding
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Ryo Igarashi
Yuta Suzuki
Naoya Chiba
Kotaro Saito
Yoshitaka Ushiku
K. Ono
162
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18 Mar 2024
Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling
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Athis Osathapan
Jesse Thaler
220
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13 Mar 2024
COSTREAM: Learned Cost Models for Operator Placement in Edge-Cloud Environments
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Roman Heinrich
Carsten Binnig
Harald Kornmayer
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13 Mar 2024
Deep Submodular Peripteral Networks
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Gantavya Bhatt
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311
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13 Mar 2024
Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints
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Poly-View Contrastive Learning
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Devon Hjelm
Jason Ramapuram
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Dan Busbridge
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233
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Montgomery Bohde
Meng Liu
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Shuiwang Ji
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284
15
0
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BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization
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Minjie Wang
David Wipf
291
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Rethinking of Encoder-based Warm-start Methods in Hyperparameter Optimization
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Katarzyna Wo'znica
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352
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Approximating invariant functions with the sorting trick is theoretically justified
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Ying Zhu
323
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GNSS Positioning using Cost Function Regulated Multilateration and Graph Neural Networks
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Will Morrison
141
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Tsuhan Chen
189
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Tristan Aumentado-Armstrong
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Konstantinos G. Derpanis
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240
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DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning
David Torpey
Richard Klein
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159
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Xinbing Wang
Cheng Zhou
Zhouhan Lin
GNN
214
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D. M. Montserrat
Xavier Giró-i-Nieto
A. Ioannidis
203
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Qingsong Wang
Zhengchao Wan
A. Nayyeri
Yusu Wang
284
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Junjie Yang
Rémi Flamary
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Charlotte Laclau
Matthieu Labeau
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321
2
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Jiahui Huang
Francis Williams
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Yongqiang Chen
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Wei Meng
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228
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05 Feb 2024
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267
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Elias Boutros Khalil
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228
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144
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301
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Haolan Zhan
Gui-Song Xia
491
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Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
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151
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Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
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