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Your Classifier can Secretly Suffice Multi-Source Domain Adaptation

Research article (ePrints@IISc (Indian Institute of Science), 2021) · cited 21× · AI/ML
academia openalex:W3104040258
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Your Classifier can Secretly Suffice Multi-Source Domain Adaptation

Summary

Your Classifier can Secretly Suffice Multi-Source Domain Adaptation is a scholarly article[1].

Key Facts

  • Your Classifier can Secretly Suffice Multi-Source Domain Adaptation's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Your Classifier can Secretly Suffice Multi-Source Domain Adaptation. Retrieved May 24, 2026, from https://4ort.xyz/entity/your-classifier-can-secretly-suffice-multi-source-domain-adaptation
MLA “Your Classifier can Secretly Suffice Multi-Source Domain Adaptation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/your-classifier-can-secretly-suffice-multi-source-domain-adaptation.
BibTeX @misc{4ortxyz_your-classifier-can-secretly-suffice-multi-source-domain-adaptation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Your Classifier can Secretly Suffice Multi-Source Domain Adaptation}}, year = {2026}, url = {https://4ort.xyz/entity/your-classifier-can-secretly-suffice-multi-source-domain-adaptation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Your Classifier can Secretly Suffice Multi-Source Domain Adaptation — https://4ort.xyz/entity/your-classifier-can-secretly-suffice-multi-source-domain-adaptation (retrieved 2026-05-24)

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