Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis

16 February 2018

Papers citing "Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis"

6 / 6 papers shown

Title
Disentangled Representation with Causal Constraints for Counterfactual Fairness Ziqi Xu Jixue Liu Debo Cheng Jiuyong Li Lin Liu Ke Wang FaML OOD CML 155 7 0 19 Aug 2022
Semi-Supervised Metric Learning: A Deep Resurrection U. Dutta Mehrtash Harandi C. Sekhar 44 7 0 10 May 2021
Affinity guided Geometric Semi-Supervised Metric Learning U. Dutta Mehrtash Harandi C. Sekhar 104 2 0 27 Feb 2020
A Probabilistic approach for Learning Embeddings without Supervision U. Dutta Mehrtash Harandi C. Sekhar SSL 84 0 0 17 Dec 2019
Regularizing Neural Networks via Minimizing Hyperspherical Energy Rongmei Lin Weiyang Liu Zhen Liu Chen Feng Zhiding Yu James M. Rehg Li Xiong Le Song 105 39 0 12 Jun 2019
Learning towards Minimum Hyperspherical Energy Weiyang Liu Rongmei Lin Ziqiang Liu Lixin Liu Zhiding Yu Bo Dai Le Song 137 151 0 23 May 2018