{"url":"/method/self-mem-new-data","slug":"self-mem-new-data","name":"self-mem + new data","full_name":"self-mem + new data","full_name_withheld":false,"description_markdown":"The training contains two steps. The first step is to train data for creating the T2D and D2T models. Then, in the second step, use these\r\nmodels to infer self-memory for self-training the D2T model.  Then, the training takes self-memory and new data for self-training the D2T model but not the T2D model.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Self-training from Self-memory in Data-to-text Generation","paper":"/paper/self-training-from-self-memory-in-data-to","first_author":"Hoang-Thang Ta","n_authors":1,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/self-training-from-self-memory-in-data-to"},"source":{"url":"https://arxiv.org/abs/2401.10567v1","title":"Self-training from Self-memory in Data-to-text Generation","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":"Self-Training Methods","url":"/methods/category/self-training-methods","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/self-training-from-self-memory-in-data-to","title":"Self-training from Self-memory in Data-to-text Generation","date":"2024-01-19","arxiv_id":"2401.10567","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/continual-learning","name":"Continual Learning","papers":1},{"task":"/task/data-to-text-generation","name":"Data-to-Text Generation","papers":1},{"task":"/task/text-generation","name":"Text Generation","papers":1}],"tasks_shown":3,"n_tasks":3,"usage_by_year":[{"year":"2024","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/self-mem-new-data"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}