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domain adaptation #79

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jovo opened this issue Sep 6, 2020 · 4 comments · May be fixed by #464
Open

domain adaptation #79

jovo opened this issue Sep 6, 2020 · 4 comments · May be fixed by #464
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feature a feature we want and know how to do

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jovo commented Sep 6, 2020

given 2 tasks, map posteriors to each other via LDDMM.

(@jdey4 this is different from what you've been working on, though related)
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jovo commented Sep 6, 2020

scikit-image/scikit-image#4390 is the code for doing LDDMM.

@jovo jovo added the feature a feature we want and know how to do label Sep 10, 2020
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jovo commented Sep 11, 2020

@tliu68 you want this, right?

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tliu68 commented Sep 11, 2020

@jovo yes, please

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tliu68 commented Sep 23, 2020 •
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experiments to run:

  • 2-class classification: R-XOR exp where task1 is mapped onto task2 w/ lddmm

maybe also:

  • run (multitask) vary_task_sample exp on original CIFAR10 data w/ lddmm and compare results to those w/ cross-task

  • map original & rotated CIFAR10 data w/ lddmm and compare results to non-adversarial case

@ykobaya9 ykobaya9 mentioned this issue Oct 8, 2020
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@williamrxu williamrxu mentioned this issue Nov 30, 2020
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@tliu68 tliu68 mentioned this issue Feb 2, 2021
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@tliu68 tliu68 linked a pull request May 5, 2021 that will close this issue
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@PSSF23 PSSF23 linked a pull request May 5, 2021 that will close this issue
Add notebook & functions for adversarial domain adaptation #464
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Add notebook & functions for adversarial domain adaptation tliu68/progressive-learning
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