{"url":"/method/finch","slug":"finch","name":"FINCH","full_name":"First Integer Neighbor Clustering Hierarchy","full_name_withheld":false,"description_markdown":null,"description_state":"placeholder","introduced_year":null,"introduced_by":{"title":"Efficient Parameter-Free Clustering Using First Neighbor Relations","paper":"/paper/efficient-parameter-free-clustering-using-1","first_author":"Saquib Sarfraz","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/efficient-parameter-free-clustering-using-1"},"source":{"url":"http://openaccess.thecvf.com/content_CVPR_2019/html/Sarfraz_Efficient_Parameter-Free_Clustering_Using_First_Neighbor_Relations_CVPR_2019_paper.html","title":"Efficient Parameter-Free Clustering Using First Neighbor Relations","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":10,"archive_num_papers":10,"papers_newest_first":[{"paper":null,"title":"ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis","date":"2025-02-14","arxiv_id":"2502.12180","n_code_links":0,"syntology":null},{"paper":"/paper/neuro2voc-decoding-vocalizations-from-neural","title":"neuro2voc: Decoding Vocalizations from Neural Activity","date":"2025-02-02","arxiv_id":"2502.07800","n_code_links":1,"syntology":null},{"paper":null,"title":"Falcon Mamba: The First Competitive Attention-free 7B Language Model","date":"2024-10-07","arxiv_id":"2410.05355","n_code_links":0,"syntology":null},{"paper":null,"title":"Dialogue You Can Trust: Human and AI Perspectives on Generated Conversations","date":"2024-09-03","arxiv_id":"2409.01808","n_code_links":0,"syntology":null},{"paper":null,"title":"Finch: Prompt-guided Key-Value Cache Compression","date":"2024-07-31","arxiv_id":"2408.00167","n_code_links":0,"syntology":null},{"paper":"/paper/goldfinch-high-performance-rwkv-transformer","title":"GoldFinch: High Performance RWKV/Transformer Hybrid with Linear Pre-Fill and Extreme KV-Cache Compression","date":"2024-07-16","arxiv_id":"2407.12077","n_code_links":2,"syntology":{"ran":5,"of":5,"unverified":0,"pointer_only":0}},{"paper":"/paper/beyond-the-visible-jointly-attending-to","title":"Beyond the Visible: Jointly Attending to Spectral and Spatial Dimensions with HSI-Diffusion for the FINCH Spacecraft","date":"2024-06-15","arxiv_id":"2406.10724","n_code_links":1,"syntology":null},{"paper":"/paper/eagle-and-finch-rwkv-with-matrix-valued","title":"Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence","date":"2024-04-08","arxiv_id":"2404.05892","n_code_links":6,"syntology":{"ran":11,"of":18,"unverified":7,"pointer_only":2}},{"paper":"/paper/learning-spectro-temporal-representations-of","title":"Learning spectro-temporal representations of complex sounds with parameterized neural networks","date":"2021-03-12","arxiv_id":"2103.07125","n_code_links":1,"syntology":null},{"paper":"/paper/efficient-parameter-free-clustering-using-1","title":"Efficient Parameter-Free Clustering Using First Neighbor Relations","date":"2019-06-01","arxiv_id":null,"n_code_links":1,"syntology":null}],"papers_shown":10,"tasks":[{"task":"/task/contrastive-learning","name":"Contrastive Learning","papers":2},{"task":"/task/language-modeling","name":"Language Modeling","papers":2},{"task":"/task/language-modelling","name":"Language Modelling","papers":2},{"task":"/task/large-language-model","name":"Large Language Model","papers":2},{"task":"/task/action-detection","name":"Action Detection","papers":1},{"task":"/task/activity-detection","name":"Activity Detection","papers":1},{"task":"/task/clustering","name":"Clustering","papers":1},{"task":"/task/denoising","name":"Denoising","papers":1},{"task":"/task/dialogue-evaluation","name":"Dialogue Evaluation","papers":1},{"task":"/task/federated-learning","name":"Federated Learning","papers":1},{"task":null,"name":"GPU","papers":1},{"task":"/task/hyperspectral-image-denoising","name":"Hyperspectral Image Denoising","papers":1},{"task":"/task/image-denoising","name":"Image Denoising","papers":1},{"task":"/task/mamba","name":"Mamba","papers":1},{"task":"/task/retrieval-augmented-generation","name":"Retrieval-augmented Generation","papers":1},{"task":"/task/sound-classification","name":"Sound Classification","papers":1},{"task":"/task/speaker-verification","name":"Speaker Verification","papers":1},{"task":"/task/transfer-learning","name":"Transfer Learning","papers":1}],"tasks_shown":18,"n_tasks":18,"usage_by_year":[{"year":"2019","papers":1},{"year":"2021","papers":1},{"year":"2024","papers":6},{"year":"2025","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/finch"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}