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Teacher-Student Curriculum Learning

IEEE transaction on neural networks and learning systems, 2020-09, Vol.31 (9), p.3732-3740

2020

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Deep Reinforcement Learning for Autonomous Driving: A Survey

IEEE transactions on intelligent transportation systems, 2022-06, Vol.23 (6), p.4909-4926

2022

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Twin Graph-Based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.66-78

2023

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Meta-Learning in Neural Networks: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2022-09, Vol.44 (9), p.5149-5169

2022

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An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning Systems

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.1314-1325

2023

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A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems

International journal of energy research, 2019-05, Vol.43 (6), p.1928-1973

2019

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Generalizing from a Few Examples: A Survey on Few-shot Learning

ACM computing surveys, 2020-06, Vol.53 (3), p.1-34

2020

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Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Medical image analysis, 2019-05, Vol.54, p.280-296

2019

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A Survey on Deep Learning: Algorithms, Techniques, and Applications

ACM computing surveys, 2019-09, Vol.51 (5), p.1-36, Article 92

2019

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Process mining for self-regulated learning assessment in e-learning

Journal of computing in higher education, 2020-04, Vol.32 (1), p.74-88

2020

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A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning

Proceedings of the IEEE, 2021-03, Vol.109 (3), p.204-246

2021

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Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.10164-10173

2022

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Self-Directed Learning: A Cognitive and Computational Perspective

Perspectives on psychological science, 2012-09, Vol.7 (5), p.464-481

2012

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Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine

IEEE transaction on neural networks and learning systems, 2019-04, Vol.30 (4), p.1088-1103

2019

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Fast and Reliable Program Synthesis via User Interaction

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.963-975

2023

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Analytics of time management strategies in a flipped classroom

Journal of computer assisted learning, 2020-02, Vol.36 (1), p.70-88

2020

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Curriculum Learning: A Survey

International journal of computer vision, 2022-06, Vol.130 (6), p.1526-1565

2022

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A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

IEEE transaction on neural networks and learning systems, 2021-11, Vol.32 (11), p.4793-4813

2021

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Recent advances and clinical applications of deep learning in medical image analysis

Medical image analysis, 2022-07, Vol.79, p.102444-102444, Article 102444

2022

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Deep Reinforcement Learning: A Survey

IEEE transaction on neural networks and learning systems, 2024-04, Vol.35 (4), p.5064-5078

2024

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Provably efficient machine learning for quantum many-body problems

Science (American Association for the Advancement of Science), 2022-09, Vol.377 (6613), p.eabk3333-eabk3333

2022

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Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review

Education sciences, 2023-12, Vol.13 (12), p.1216

2023

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Imitation Learning: A Survey of Learning Methods

ACM computing surveys, 2018-03, Vol.50 (2), p.1-35

2018

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Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks

IEEE/ACM transactions on networking, 2022-08, Vol.30 (4), p.1569-1584

2022

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Unsupervised and semi‐supervised learning: the next frontier in machine learning for plant systems biology

The Plant journal : for cell and molecular biology, 2022-09, Vol.111 (6), p.1527-1538

2022

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Teacher-Student Curriculum Learning

Deep Reinforcement Learning for Autonomous Driving: A Survey

Twin Graph-Based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System

Meta-Learning in Neural Networks: A Survey

An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning Systems

A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems

Generalizing from a Few Examples: A Survey on Few-shot Learning

Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

A Survey on Deep Learning: Algorithms, Techniques, and Applications

Process mining for self-regulated learning assessment in e-learning

A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning

Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

Self-Directed Learning: A Cognitive and Computational Perspective

Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine

Fast and Reliable Program Synthesis via User Interaction

Analytics of time management strategies in a flipped classroom

Curriculum Learning: A Survey

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

Recent advances and clinical applications of deep learning in medical image analysis

Deep Reinforcement Learning: A Survey

Provably efficient machine learning for quantum many-body problems

Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review

Imitation Learning: A Survey of Learning Methods

Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks

Unsupervised and semi‐supervised learning: the next frontier in machine learning for plant systems biology

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