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09/16/2023
Universal Metric Learning with Parameter-Efficient Transfer Learning
A common practice in metric learning is to train and test an embedding m...
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07/27/2023
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
In a joint vision-language space, a text feature (e.g., from "a photo of...
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07/20/2023
Massively parallel quantum chemistry: PFAS on over 1 million cloud vCPUs
Accurate solutions to the electronic Schrödinger equation can provide va...
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12/29/2022
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization
Supervision for metric learning has long been given in the form of equiv...
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11/25/2022
Cross-Domain Ensemble Distillation for Domain Generalization
Domain generalization is the task of learning models that generalize to ...
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08/13/2022
Combating Label Distribution Shift for Active Domain Adaptation
We consider the problem of active domain adaptation (ADA) to unlabeled t...
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05/04/2022
Self-Taught Metric Learning without Labels
We present a novel self-taught framework for unsupervised metric learnin...
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01/04/2022
Learning to Generate Novel Classes for Deep Metric Learning
Deep metric learning aims to learn an embedding space where the distance...
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03/27/2021
Embedding Transfer with Label Relaxation for Improved Metric Learning
This paper presents a novel method for embedding transfer, a task of tra...
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03/31/2020
Proxy Anchor Loss for Deep Metric Learning
Existing metric learning losses can be categorized into two classes: pai...
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04/21/2019
