{"url":"/method/sccl","slug":"sccl","name":"SCCL","full_name":"Supporting Clustering with Contrastive Learning","full_name_withheld":false,"description_markdown":"**SCCL**, or **Supporting Clustering with Contrastive Learning**, is a framework to leverage contrastive learning to promote better separation in unsupervised clustering. It combines the top-down clustering with the bottom-up instance-wise contrastive learning to achieve better inter-cluster distance and intra-cluster distance. During training, we jointly optimize a clustering loss over the original data instances and an instance-wise contrastive loss over the associated augmented pairs.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Supporting Clustering with Contrastive Learning","paper":"/paper/supporting-clustering-with-contrastive","first_author":"Dejiao Zhang","n_authors":9,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/supporting-clustering-with-contrastive"},"source":{"url":"https://arxiv.org/abs/2103.12953v2","title":"Supporting Clustering with Contrastive Learning","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":"Clustering","url":"/methods/category/clustering","pwc_aliases":[]}],"n_papers_tagged":4,"archive_num_papers":4,"papers_newest_first":[{"paper":null,"title":"Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion","date":"2023-05-20","arxiv_id":"2305.12270","n_code_links":0,"syntology":null},{"paper":"/paper/cluster-level-contrastive-learning-for","title":"Cluster-Level Contrastive Learning for Emotion Recognition in Conversations","date":"2023-02-07","arxiv_id":"2302.03508","n_code_links":1,"syntology":null},{"paper":null,"title":"Sentiment Analysis of Online Travel Reviews Based on Capsule Network and Sentiment Lexicon","date":"2022-06-05","arxiv_id":"2206.02160","n_code_links":0,"syntology":null},{"paper":"/paper/supporting-clustering-with-contrastive","title":"Supporting Clustering with Contrastive Learning","date":"2021-03-24","arxiv_id":"2103.12953","n_code_links":2,"syntology":{"ran":1,"of":1,"unverified":0,"pointer_only":0}}],"papers_shown":4,"tasks":[{"task":"/task/contrastive-learning","name":"Contrastive Learning","papers":3},{"task":"/task/classification-1","name":"Classification","papers":1},{"task":"/task/clustering","name":"Clustering","papers":1},{"task":"/task/continual-learning","name":"Continual Learning","papers":1},{"task":"/task/emotion-recognition","name":"Emotion Recognition","papers":1},{"task":"/task/language-modelling","name":"Language Modelling","papers":1},{"task":"/task/sentiment-analysis","name":"Sentiment Analysis","papers":1},{"task":"/task/sentiment-classification","name":"Sentiment Classification","papers":1},{"task":"/task/short-text-clustering","name":"Short Text Clustering","papers":1},{"task":"/task/text-clustering","name":"Text Clustering","papers":1}],"tasks_shown":10,"n_tasks":10,"usage_by_year":[{"year":"2021","papers":1},{"year":"2022","papers":1},{"year":"2023","papers":2}],"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/sccl"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}