{"url":"/method/tel","slug":"tel","name":"Triplet Entropy Loss","full_name":"Triplet Entropy Loss","full_name_withheld":false,"description_markdown":"The Triplet Entropy Loss (TEL) training method aims to leverage both the strengths of Cross Entropy Loss (CEL) and [Triplet loss](https://paperswithcode.com/method/triplet-loss) during the training process, assuming that it would lead to better generalization. The TEL method though does not contain a pre-training step, but trains simultaneously with both CEL and Triplet losses.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems","paper":"/paper/triplet-entropy-loss-improving-the","first_author":"Ruan van der Merwe","n_authors":1,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/triplet-entropy-loss-improving-the"},"source":{"url":"https://arxiv.org/abs/2012.03775v1","title":"Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Loss Functions","url":"/methods/category/loss-functions","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/triplet-entropy-loss-improving-the","title":"Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems","date":"2020-12-03","arxiv_id":"2012.03775","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/language-identification","name":"Language Identification","papers":1},{"task":"/task/speech-language-identification","name":"Speech Language Identification","papers":1},{"task":"/task/spoken-language-understanding","name":"Spoken Language Understanding","papers":1},{"task":"/task/spoken-language-identification","name":"Spoken language identification","papers":1},{"task":null,"name":"Triplet","papers":1}],"tasks_shown":5,"n_tasks":5,"usage_by_year":[{"year":"2020","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/tel"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}