Understanding Hyperbolic Metric Learning through Hard Negative Sampling

Understanding Hyperbolic Metric Learning through Hard Negative Sampling

23 April 2024

Fangzhou Lin

Papers citing "Understanding Hyperbolic Metric Learning through Hard Negative Sampling"

9 / 9 papers shown

Title
A Fashion Item Recommendation Model in Hyperbolic Space Ryotaro Shimizu Yu Wang Masanari Kimura Yuki Hirakawa Takashi Wada Yuki Saito Julian McAuley 17 3 0 04 Sep 2024
Rethinking the compositionality of point clouds through regularization in the hyperbolic space Antonio Montanaro D. Valsesia E. Magli 3DPC 26 31 0 21 Sep 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Negative Data Augmentation Abhishek Sinha Kumar Ayush Jiaming Song Burak Uzkent Hongxia Jin Stefano Ermon 23 68 0 09 Feb 2021
Hyperbolic Deep Neural Networks: A Survey Wei Peng Tuomas Varanka Abdelrahman Mostafa Henglin Shi Guoying Zhao AI4CE 41 133 0 12 Jan 2021
MixCo: Mix-up Contrastive Learning for Visual Representation Sungnyun Kim Gihun Lee Sangmin Bae Seyoung Yun SSL 87 69 0 13 Oct 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 229 3,029 0 09 Mar 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014