Meta-learning approaches for learning-to-learn in deep learning: A survey
Authors:
- Yingjie TianYTYingjie Tian
- Xiaoxi ZhaoXZXiaoxi Zhao
- Wei HuangWHWei Huang
Top Cited Papers
- 21 April 2022
- journal article
- research article
- Published by Elsevier in Neurocomputing
- Vol. 494, 203-223
Abstract
No abstract availableKeywords
This publication has 106 references indexed in Scilit:
- BEYOND THE NUMBERS: MINING THE ANNUAL REPORTS FOR HIDDEN CUES INDICATIVE OF FINANCIAL STATEMENT FRAUDIntelligent Systems in Accounting, Finance and Management, 2012
- Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning AlgorithmsAUDITING: A Journal of Practice & Theory, 2011
- A computational model for financial reporting fraud detectionDecision Support Systems, 2011
- Detecting Management Fraud in Public CompaniesManagement Science, 2010
- Can Linguistic Predictors Detect Fraudulent Financial Filings?Journal of Emerging Technologies in Accounting, 2010
- Causal inference in statistics: An overviewStatistics Surveys, 2009
- Minority report in fraud detectionACM SIGKDD Explorations Newsletter, 2004
- Learning from imbalanced data sets with boosting and data generationACM SIGKDD Explorations Newsletter, 2004
- Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical ResultsJournal of Transportation Engineering, 2003
- THE ROLE OF METALEARNING IN STUDY PROCESSESBritish Journal of Educational Psychology, 1985