{"url":"/method/fierce","slug":"fierce","name":"FIERCE","full_name":"Feature Information Entropy Regularized Cross Entropy","full_name_withheld":false,"description_markdown":"FIERCE is an entropic regularization on the **feature** space","description_state":"present","introduced_year":null,"introduced_by":{"title":"Preserving Fine-Grain Feature Information in Classification via Entropic Regularization","paper":"/paper/preserving-fine-grain-feature-information-in","first_author":"Raphael Baena","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/preserving-fine-grain-feature-information-in"},"source":{"url":"https://arxiv.org/abs/2208.03684v1","title":"Preserving Fine-Grain Feature Information in Classification via Entropic Regularization","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":"Regularization","url":"/methods/category/regularization","pwc_aliases":[]}],"n_papers_tagged":7,"archive_num_papers":7,"papers_newest_first":[{"paper":null,"title":"Monocular Person Localization under Camera Ego-motion","date":"2025-03-04","arxiv_id":"2503.02916","n_code_links":0,"syntology":null},{"paper":null,"title":"Fault Localization and State Estimation of Power Grid under Parallel Cyber-Physical Attacks","date":"2025-03-03","arxiv_id":"2503.05797","n_code_links":0,"syntology":null},{"paper":null,"title":"LLMs as a synthesis between symbolic and continuous approaches to language","date":"2025-02-17","arxiv_id":"2502.11856","n_code_links":0,"syntology":null},{"paper":null,"title":"CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models","date":"2023-11-15","arxiv_id":"2311.09154","n_code_links":0,"syntology":null},{"paper":"/paper/china-and-the-u-s-produce-more-impactful-ai","title":"China and the U.S. produce more impactful AI research when collaborating together","date":"2023-04-21","arxiv_id":"2304.11123","n_code_links":1,"syntology":null},{"paper":"/paper/graph-neural-rough-differential-equations-for","title":"Graph Neural Rough Differential Equations for Traffic Forecasting","date":"2023-03-20","arxiv_id":"2303.10909","n_code_links":2,"syntology":{"ran":6,"of":17,"unverified":11,"pointer_only":0}},{"paper":"/paper/preserving-fine-grain-feature-information-in","title":"Preserving Fine-Grain Feature Information in Classification via Entropic Regularization","date":"2022-08-07","arxiv_id":"2208.03684","n_code_links":1,"syntology":null}],"papers_shown":7,"tasks":[{"task":"/task/few-shot-learning","name":"Few-Shot Learning","papers":2},{"task":"/task/blocking","name":"Blocking","papers":1},{"task":"/task/classification-1","name":"Classification","papers":1},{"task":"/task/deep-learning","name":"Deep Learning","papers":1},{"task":"/task/diversity","name":"Diversity","papers":1},{"task":"/task/fault-diagnosis","name":"Fault Diagnosis","papers":1},{"task":"/task/fault-localization","name":"Fault localization","papers":1},{"task":"/task/fine-grained-image-classification","name":"Fine-Grained Image Classification","papers":1},{"task":"/task/graph-attention","name":"Graph Attention","papers":1},{"task":"/task/pose-estimation","name":"Pose Estimation","papers":1},{"task":null,"name":"Position","papers":1},{"task":"/task/position-regression","name":"Position regression","papers":1},{"task":"/task/state-estimation","name":"State Estimation","papers":1},{"task":"/task/time-series-1","name":"Time Series","papers":1},{"task":"/task/traffic-prediction","name":"Traffic Prediction","papers":1},{"task":"/task/transfer-learning","name":"Transfer Learning","papers":1},{"task":"/task/regression-1","name":"regression","papers":1}],"tasks_shown":17,"n_tasks":17,"usage_by_year":[{"year":"2022","papers":1},{"year":"2023","papers":3},{"year":"2025","papers":3}],"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/fierce"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}