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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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Towards Personalized Federated Learning

IEEE transaction on neural networks and learning systems, 2023-12, Vol.34 (12), p.9587-9603

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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Learning Loss for Active Learning

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.93-102

2019

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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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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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Meta-Transfer Learning for Few-Shot Learning

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.403-412

2019

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Learning to Prompt for Continual Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.139-149

2022

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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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Machine Learning

IEEE software, 2016-09, Vol.33 (5), p.110-115

2016

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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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Reinforcement Learning-Based Load Forecasting of Electric Vehicle Charging Station Using Q-Learning Technique

IEEE transactions on industrial informatics, 2021-06, Vol.17 (6), p.4229-4237

2021

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Deep Mutual Learning

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.4320-4328

2018

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Blockchained On-Device Federated Learning

IEEE communications letters, 2020-06, Vol.24 (6), p.1279-1283

2020

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Large Scale Incremental Learning

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.374-382

2019

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RLBench: The Robot Learning Benchmark & Learning Environment

IEEE robotics and automation letters, 2020-04, Vol.5 (2), p.3018-3025

2020

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Model-Contrastive Federated Learning

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.10708-10717

2021

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Learning without Forgetting

Towards Personalized Federated Learning

Toward Causal Representation Learning

Learning Loss for Active Learning

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

Backdoor Learning: A Survey

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

Learning to Detect

Domain Adaptive Ensemble Learning

Meta-Transfer Learning for Few-Shot Learning

Learning to Prompt for Continual 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

Machine Learning

Model-Based Deep Learning

Reinforcement Learning-Based Load Forecasting of Electric Vehicle Charging Station Using Q-Learning Technique

Deep Mutual Learning

Blockchained On-Device Federated Learning

Large Scale Incremental Learning

RLBench: The Robot Learning Benchmark & Learning Environment

Model-Contrastive Federated Learning

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