The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 25, 2025

Filed:

Jan. 28, 2022
Applicant:

Salesforce, Inc., San Francisco, CA (US);

Inventors:

Luyu Yang, District of Columbia, DC (US);

Mingfei Gao, Sunnyvale, CA (US);

Zeyuan Chen, Palo Alto, CA (US);

Ran Xu, Mountain View, CA (US);

Chetan Ramaiah, San Bruno, CA (US);

Assignee:

Salesforce, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2455 (2019.01); G06F 16/242 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24568 (2019.01); G06F 16/2425 (2019.01); G06N 20/00 (2019.01);
Abstract

Embodiments described herein provide an online domain adaptation framework based on cross-domain bootstrapping for online domain adaptation, in which the target domain streaming data is deleted immediately after adapted. At each online query, the data diversity is increased across domains by bootstrapping the source domain to form diverse combinations with the current target query. To fully take advantage of the valuable discrepancies among the diverse combinations, a set of independent learners are trained to preserve the differences. The knowledge of the learners is then integrated by exchanging their predicted pseudo-labels on the current target query to co-supervise the learning on the target domain, but without sharing the weights to maintain the learners' divergence.


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