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Learning without Forgetting

IEEE transactions on pattern analysis and machine intelligence, 2018-12, Vol.40 (12), p.2935-2947

2018

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Machine learning based iterative learning control for non‐repetitive time‐varying systems

International journal of robust and nonlinear control, 2023-05, Vol.33 (7), p.4098-4116

2023

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Toward Causal Representation Learning

Proceedings of the IEEE, 2021-05, Vol.109 (5), p.612-634

2021

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When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

IEEE transactions on geoscience and remote sensing, 2018-05, Vol.56 (5), p.2811-2821

2018

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Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning

Sensors (Basel, Switzerland), 2021-02, Vol.21 (4), p.1278

2021

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Backdoor Learning: A Survey

IEEE transaction on neural networks and learning systems, 2024-01, Vol.35 (1), p.5-22

2024

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Learning to Schedule Network Resources Throughput and Delay Optimally Using Q+-Learning

IEEE/ACM transactions on networking, 2021-04, Vol.29 (2), p.750-763

2021

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Learning to Detect

IEEE transactions on signal processing, 2019-05, Vol.67 (10), p.2554-2564

2019

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Domain Adaptive Ensemble Learning

IEEE transactions on image processing, 2021, Vol.30, p.8008-8018

2021

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Fast-Convergent Federated Learning

IEEE journal on selected areas in communications, 2021-01, Vol.39 (1), p.201-218

2021

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Learning to Deblur

IEEE transactions on pattern analysis and machine intelligence, 2016-07, Vol.38 (7), p.1439-1451

2016

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Label Distribution Learning

IEEE transactions on knowledge and data engineering, 2016-07, Vol.28 (7), p.1734-1748

Geng, Xin

2016

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Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning

IEEE transaction on neural networks and learning systems, 2021-08, Vol.32 (8), p.3458-3470

2021

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Tracking-Learning-Detection

IEEE transactions on pattern analysis and machine intelligence, 2012-07, Vol.34 (7), p.1409-1422

2012

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Applications of Deep Learning and Reinforcement Learning to Biological Data

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2063-2079

2018

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Model-Based Deep Learning

Proceedings of the IEEE, 2023-05, Vol.111 (5), p.1-35

2023

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Ensemble deep learning: A review

Engineering applications of artificial intelligence, 2022-10, Vol.115, p.105151, Article 105151

2022

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Task-Driven Dictionary Learning

IEEE transactions on pattern analysis and machine intelligence, 2012-04, Vol.34 (4), p.791-804

2012

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Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2019-03, Vol.57 (3), p.1741-1754

2019

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Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

2019 IEEE Symposium on Security and Privacy (SP), 2019, p.739-753

2019

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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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Net Learning

IEEE transaction on neural networks and learning systems, 2022-12, Vol.33 (12), p.7380-7389

2022

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Patch Learning

IEEE transactions on fuzzy systems, 2020-09, Vol.28 (9), p.1996-2008

2020

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Blind Federated Edge Learning

IEEE transactions on wireless communications, 2021-08, Vol.20 (8), p.5129-5143

2021

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Multi-Scale Metric Learning for Few-Shot Learning

IEEE transactions on circuits and systems for video technology, 2021-03, Vol.31 (3), p.1091-1102

2021

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Learning without Forgetting

Machine learning based iterative learning control for non‐repetitive time‐varying systems

Toward Causal Representation Learning

When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning

Backdoor Learning: A Survey

Learning to Schedule Network Resources Throughput and Delay Optimally Using Q+-Learning

Learning to Detect

Domain Adaptive Ensemble Learning

Fast-Convergent Federated Learning

Learning to Deblur

Label Distribution Learning

Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning

Tracking-Learning-Detection

Applications of Deep Learning and Reinforcement Learning to Biological Data

Model-Based Deep Learning

Ensemble deep learning: A review

Task-Driven Dictionary Learning

Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification

Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

Teacher-Student Curriculum Learning

Net Learning

Patch Learning

Blind Federated Edge Learning

Multi-Scale Metric Learning for Few-Shot Learning

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