A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning

8 July 2022

Papers citing "A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning"

7 / 7 papers shown

Title
Cross-Entropy Is All You Need To Invert the Data Generating Process Patrik Reizinger Alice Bizeul Attila Juhos Julia E. Vogt Randall Balestriero Wieland Brendel David Klindt SSL OOD BDL DRL 102 3 0 29 Oct 2024
InfoNCE: Identifying the Gap Between Theory and Practice E. Rusak Patrik Reizinger Attila Juhos Oliver Bringmann Roland S. Zimmermann Wieland Brendel 33 5 0 28 Jun 2024
Potential Field Based Deep Metric Learning Shubhang Bhatnagar Narendra Ahuja 44 1 0 28 May 2024
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 238 207 0 17 Feb 2021
Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun Seong Joon Oh Rafael Sampaio de Rezende Yannis Kalantidis Diane Larlus UQCV 401 200 0 13 Jan 2021
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications Biagio Brattoli Joseph Tighe Fedor Zhdanov Pietro Perona Krzysztof Chalupka VLM 134 127 0 03 Mar 2020
Classification is a Strong Baseline for Deep Metric Learning Andrew Zhai Hao Wu VLM 32 25 0 30 Nov 2018