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.
APA4ort.xyz Knowledge Graph. (2026). DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. Retrieved May 24, 2026, from https://4ort.xyz/entity/discrimloss-a-universal-loss-for-hard-samples-and-incorrect-samples-discrimination
MLA“DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/discrimloss-a-universal-loss-for-hard-samples-and-incorrect-samples-discrimination.
BibTeX@misc{4ortxyz_discrimloss-a-universal-loss-for-hard-samples-and-incorrect-samples-discrimination_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination}}, year = {2026}, url = {https://4ort.xyz/entity/discrimloss-a-universal-loss-for-hard-samples-and-incorrect-samples-discrimination}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination — https://4ort.xyz/entity/discrimloss-a-universal-loss-for-hard-samples-and-incorrect-samples-discrimination (retrieved 2026-05-24)
