Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1209.1086
Cited By
v1
v2
v3 (latest)
Robustness and Generalization for Metric Learning
5 September 2012
A. Bellet
Amaury Habrard
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Robustness and Generalization for Metric Learning"
33 / 33 papers shown
Collaborative-Online-Learning-Enabled Distributionally Robust Motion Control for Multi-Robot Systems
Chao Ning
Han Wang
Longyan Li
Yang Shi
154
0
0
24 Aug 2025
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning
AAAI Conference on Artificial Intelligence (AAAI), 2025
Liang Wu
Ruixi Hu
Yunwen Lei
321
0
0
03 Mar 2025
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
Daiwei Chen
Yi Chen
Aniket Rege
Ramya Korlakai Vinayak
377
44
0
12 Jun 2024
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning
Neural Information Processing Systems (NeurIPS), 2023
Austin Xu
Andrew D. McRae
Jingyan Wang
Mark A. Davenport
A. Pananjady
288
3
0
08 Sep 2023
Catching Image Retrieval Generalization
Maksim Zhdanov
I. Karpukhin
VLM
292
0
0
23 Jun 2023
Coded Residual Transform for Generalizable Deep Metric Learning
Neural Information Processing Systems (NeurIPS), 2022
Shichao Kan
Yixiong Liang
Min Li
Yigang Cen
Jianxin Wang
Z. He
323
2
0
09 Oct 2022
Deep Metric Learning with Chance Constraints
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Y. Z. Gürbüz
Ogul Can
A. Aydin Alatan
489
3
0
19 Sep 2022
Robustness Implies Generalization via Data-Dependent Generalization Bounds
International Conference on Machine Learning (ICML), 2022
Kenji Kawaguchi
Zhun Deng
K. Luh
Jiaoyang Huang
OOD
545
28
0
27 Jun 2022
Dimension Free Generalization Bounds for Non Linear Metric Learning
Mark Kozdoba
Shie Mannor
189
0
0
07 Feb 2021
On the robustness of kernel-based pairwise learning
Patrick Gensler
A. Christmann
OOD
168
3
0
29 Oct 2020
Towards Certified Robustness of Distance Metric Learning
Xiaochen Yang
Yiwen Guo
Mingzhi Dong
Jing-Hao Xue
OOD
250
0
0
10 Jun 2020
Deep Divergence Learning
International Conference on Machine Learning (ICML), 2020
Kubra Cilingir
Rachel Manzelli
Brian Kulis
192
18
0
06 May 2020
Supervised Categorical Metric Learning with Schatten p-Norms
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2020
Xuhui Fan
Éric Gaussier
188
3
0
26 Feb 2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
International Conference on Machine Learning (ICML), 2020
Karsten Roth
Timo Milbich
Samarth Sinha
Prateek Gupta
Bjorn Ommer
Joseph Paul Cohen
1.2K
187
0
19 Feb 2020
On Tree-based Methods for Similarity Learning
International Conference on Machine Learning, Optimization, and Data Science (MOD), 2019
Nathan Huet
Robin Vogel
222
1
0
21 Jun 2019
Learning to Approximate a Bregman Divergence
Ali Siahkamari
Xide Xia
Venkatesh Saligrama
D. Castañón
Brian Kulis
406
8
0
28 May 2019
Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning
Wei Shen
Zhenhuan Yang
Yiming Ying
Xiaoming Yuan
192
17
0
25 Apr 2019
MALTS: Matching After Learning to Stretch
Journal of machine learning research (JMLR), 2018
Harsh Parikh
Cynthia Rudin
A. Volfovsky
597
29
0
18 Nov 2018
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds
Kuan Liu
A. Bellet
458
17
0
20 Jul 2018
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization
International Conference on Machine Learning (ICML), 2018
Robin Vogel
A. Bellet
Nathan Huet
263
12
0
18 Jul 2018
A Multilayer Framework for Online Metric Learning
Wenbin Li
Yanfang Liu
Jing Huo
Yinghuan Shi
Yang Gao
Lei Wang
Jiebo Luo
295
1
0
15 May 2018
Adversarially Robust Generalization Requires More Data
Ludwig Schmidt
Shibani Santurkar
Dimitris Tsipras
Kunal Talwar
Aleksander Madry
OOD
AAML
673
859
0
30 Apr 2018
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis
P. Xie
Wei Wu
Yichen Zhu
Eric Xing
278
31
0
16 Feb 2018
Learning Low-Dimensional Metrics
Lalit P. Jain
Blake Mason
Robert D. Nowak
376
40
0
18 Sep 2017
Geometry-aware Deep Transform
Jiaji Huang
Qiang Qiu
Robert Calderbank
Guillermo Sapiro
AAML
OOD
265
9
0
17 Sep 2015
Towards Making High Dimensional Distance Metric Learning Practical
Qi Qian
Rong Jin
Lijun Zhang
Shenghuo Zhu
154
3
0
15 Sep 2015
Sample complexity of learning Mahalanobis distance metrics
Nakul Verma
K. Branson
201
37
0
11 May 2015
Online Pairwise Learning Algorithms with Kernels
Yiming Ying
Ding-Xuan Zhou
215
13
0
25 Feb 2015
Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics
Nathan Huet
A. Bellet
Igor Colin
257
47
0
12 Jan 2015
Sparse Compositional Metric Learning
AAAI Conference on Artificial Intelligence (AAAI), 2014
Yuan Shi
A. Bellet
Fei Sha
230
94
0
15 Apr 2014
Supervised Metric Learning with Generalization Guarantees
A. Bellet
389
10
0
17 Jul 2013
A Survey on Metric Learning for Feature Vectors and Structured Data
A. Bellet
Amaury Habrard
M. Sebban
587
708
0
28 Jun 2013
Online Learning with Pairwise Loss Functions
Bernie Wang
Roni Khardon
Dmitry Pechyony
R. Jones
296
10
0
22 Jan 2013
1
Page 1 of 1
