Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings

7 August 2019

Papers citing "Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings"

11 / 11 papers shown

Title
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 30 1 0 23 Apr 2024
Deep Metric Learning with Chance Constraints Y. Z. Gürbüz Ogul Can Aydin Alatan 19 2 0 19 Sep 2022
The Group Loss++: A deeper look into group loss for deep metric learning Ismail Elezi Jenny Seidenschwarz Laurin Wagner Sebastiano Vascon Alessandro Torcinovich Marcello Pelillo Laura Leal-Taixe 24 12 0 04 Apr 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning Natalie Dullerud Karsten Roth Kimia Hamidieh Nicolas Papernot Marzyeh Ghassemi 24 15 0 23 Mar 2022
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning Aleksandr Ermolov L. Mirvakhabova Valentin Khrulkov N. Sebe Ivan V. Oseledets 25 100 0 21 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata 19 36 0 16 Mar 2022
Full-attention based Neural Architecture Search using Context Auto-regression Yuan Zhou Haiyang Wang Shuwei Huo Boyu Wang 25 3 0 13 Nov 2021
RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection Shunjie Dong Qianqian Yang Yu Fu Mei Tian Cheng Zhuo OOD 17 42 0 22 Feb 2021
Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego Eric Arazo Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 18 112 0 08 Dec 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 36 474 0 18 Mar 2020
Adversarial Ranking Attack and Defense Mo Zhou Zhenxing Niu Le Wang Qilin Zhang G. Hua 28 38 0 26 Feb 2020