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2004.05465
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Robust Large-Margin Learning in Hyperbolic Space
Neural Information Processing Systems (NeurIPS), 2020
11 April 2020
Melanie Weber
Manzil Zaheer
A. S. Rawat
A. Menon
Sanjiv Kumar
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Papers citing
"Robust Large-Margin Learning in Hyperbolic Space"
20 / 20 papers shown
Towards Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks
The Web Conference (WWW), 2025
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Yifei Zhang
Jialin Chen
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Rex Ying
223
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20 May 2025
Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries
Neil He
Jiahong Liu
Buze Zhang
N. Bui
Ali Maatouk
Menglin Yang
Irwin King
Melanie Weber
Rex Ying
358
8
0
11 Apr 2025
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination
AAAI Conference on Artificial Intelligence (AAAI), 2025
Qi Bi
Jingjun Yi
Haolan Zhan
Wei Ji
Gui-Song Xia
346
8
0
10 Apr 2025
Unitary convolutions for learning on graphs and groups
Neural Information Processing Systems (NeurIPS), 2024
B. Kiani
Lukas Fesser
Melanie Weber
GNN
455
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07 Oct 2024
A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space
Zhangyu Wang
Lantian Xu
Zhifeng Kong
Weilong Wang
Xuyu Peng
Enyang Zheng
348
3
0
23 Jul 2024
Hardness of Learning Neural Networks under the Manifold Hypothesis
B. Kiani
Jason Wang
Melanie Weber
342
17
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03 Jun 2024
Convex Relaxation for Solving Large-Margin Classifiers in Hyperbolic Space
Sheng Yang
Peihan Liu
Cengiz Pehlevan
332
0
0
27 May 2024
Why are hyperbolic neural networks effective? A study on hierarchical representation capability
Shicheng Tan
Huan-jing Zhao
Shu Zhao
Yanping Zhang
276
2
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04 Feb 2024
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels
Shu-Lin Xu
Yifan Sun
Faen Zhang
Anqi Xu
Xiu-Shen Wei
Yi Yang
238
14
0
18 Nov 2023
Hyperbolic Random Forests
Lars Doorenbos
Pablo Márquez-Neila
Raphael Sznitman
Pascal Mettes
335
10
0
25 Aug 2023
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Xinting Liao
Weiming Liu
Chaochao Chen
Pengyang Zhou
Huabin Zhu
Yanchao Tan
Jun Wang
Yue Qi
FedML
195
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26 Jul 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
ACM Computing Surveys (ACM Comput. Surv.), 2023
Peiyu Xiong
Michael W. Tegegn
Jaskeerat Singh Sarin
Shubhraneel Pal
Julia Rubin
SILM
AAML
410
16
0
17 Mar 2023
Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
Neural Information Processing Systems (NeurIPS), 2023
Xiran Fan
Chun-Hao Yang
B. Vemuri
320
14
0
14 Feb 2023
How does training shape the Riemannian geometry of neural network representations?
Jacob A. Zavatone-Veth
Sheng Yang
Julian Rubinfien
Cengiz Pehlevan
MLT
AI4CE
557
6
0
26 Jan 2023
Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces
Knowledge and Information Systems (KAIS), 2022
Chao Pan
Eli Chien
Puoya Tabaghi
Jianhao Peng
O. Milenkovic
306
3
0
07 Mar 2022
Highly Scalable and Provably Accurate Classification in Poincare Balls
Industrial Conference on Data Mining (IDM), 2021
Eli Chien
Chao Pan
Puoya Tabaghi
O. Milenkovic
255
14
0
08 Sep 2021
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers
Computer Vision and Pattern Recognition (CVPR), 2021
Yunhui Guo
Xudong Wang
Yubei Chen
Stella X. Yu
247
74
0
23 Jul 2021
Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks
Kendra Albert
Maggie K. Delano
B. Kulynych
Ramnath Kumar
AAML
500
5
0
11 Jul 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
Computer Vision and Pattern Recognition (CVPR), 2021
Jindou Dai
Yuwei Wu
Zhi Gao
Yunde Jia
269
102
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14 Apr 2021
Linear Classifiers in Product Space Forms
Puoya Tabaghi
Chao Pan
Eli Chien
Jianhao Peng
S. Rasoul Etesami
242
10
0
19 Feb 2021
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