Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning

20 July 2021

Papers citing "Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning"

8 / 8 papers shown

Title
A metric learning approach for endoscopic kidney stone identification Jorge Gonzalez-Zapata F. Lopez-Tiro Elias Villalvazo-Avila Daniel Flores-Araiza Jacques Hubert Andres Mendez-Vazquez G. Ochoa-Ruiz C. Daul 28 4 0 13 Jul 2023
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning Natalie Dullerud Karsten Roth Kimia Hamidieh Nicolas Papernot Marzyeh Ghassemi 14 15 0 23 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata 11 36 0 16 Mar 2022
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 170 686 0 22 Apr 2021
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications Biagio Brattoli Joseph Tighe Fedor Zhdanov Pietro Perona Krzysztof Chalupka VLM 129 127 0 03 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 900 0 02 Mar 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 172 639 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017