Item talk:Q169072

{

 "OpenAlex": {
   "display_name": "Learning with Noisy Labels in Machine Learning",
   "description": "This cluster of papers focuses on the challenges and techniques for learning with noisy labels in machine learning, including methods for hyperparameter optimization, instance selection, robust learning, and automated machine learning. It also explores the use of meta-learning and deep neural networks in handling noisy label problems, particularly in the context of classification tasks and learning from positive and unlabeled data.",
   "keywords": [
     "Noisy Labels",
     "Hyperparameter Optimization",
     "Instance Selection",
     "Robust Learning",
     "Automated Machine Learning",
     "Meta-Learning",
     "Deep Neural Networks",
     "Classification",
     "Positive and Unlabeled Data",
     "Loss Correction"
   ],
   "ids": {
     "openalex": "https://openalex.org/T12535",
     "wikipedia": "https://en.wikipedia.org/wiki/Learning_with_noisy_labels"
   },
   "subfield": {
     "id": "https://openalex.org/subfields/1702",
     "display_name": "Artificial Intelligence"
   },
   "field": {
     "id": "https://openalex.org/fields/17",
     "display_name": "Computer Science"
   },
   "domain": {
     "id": "https://openalex.org/domains/3",
     "display_name": "Physical Sciences"
   },
   "updated_date": "2024-08-12T06:07:42.447678",
   "created_date": "2024-01-23",
   "type": "topic",
   "oa_id": "T12535",
   "id": "https://openalex.org/T12535"
 }

}