Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation-Reference-Cited by-同舟云学术

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Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Usvyatsov Mikhail¹,Makarova Anastasia¹,Ballester-Ripoll Rafael²,Rakhuba Maxim³,Krause Andreas¹,Schindler Konrad¹

Affiliation:

1. ETH Zürich

2. IE University

3. HSE University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710043.pdf?arnumber=9710043

Reference54 articles.

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2. Tensor-Train Decomposition

3. The multimodal brain tumor image segmentation benchmark (BRATS);menze;IEEE TMI,2014

4. On the variance of the adaptive learning rate and beyond;liu;ICLRE,2020

5. DeepCP: Flexible nonlinear tensor decomposition;liu;NeurIPS workshop,2017

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