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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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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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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 Prompt for Continual Learning

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

2022

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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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Fast-Convergent Federated Learning

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

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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Deep learning‐based SCUC decision‐making: An intelligent data‐driven approach with self‐learning capabilities

IET generation, transmission & distribution, 2022-02, Vol.16 (4), p.629-640

2022

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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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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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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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Transfer Learning in Deep Reinforcement Learning: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2023-11, Vol.45 (11), p.1-20

2023

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Robust Aggregation for Federated Learning

IEEE transactions on signal processing, 2022, Vol.70, p.1142-1154

2022

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Corrections to "Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning" [Aug 21 3458-3470]

IEEE transaction on neural networks and learning systems, 2021-08, Vol.32 (8), p.3784-3784

2021

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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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The influence of online learning barriers and students’ learning independence on the learning outcomes of class VIII students of SMPN 1 V Koto Kampung Dalam

AIP Conference Proceedings, 2023, Vol.2698 (1)

2023

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Plant Disease Detection and Classification by Deep Learning-A Review

IEEE access, 2021, Vol.9, p.56683-56698

2021

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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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Large Scale Incremental Learning

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

2019

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Graph Learning: A Survey

IEEE transactions on artificial intelligence, 2021-04, Vol.2 (2), p.109-127

2021

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Cooperative Wind Farm Control With Deep Reinforcement Learning and Knowledge-Assisted Learning

IEEE transactions on industrial informatics, 2020-11, Vol.16 (11), p.6912-6921

2020

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Variational Adversarial Active Learning

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.5971-5980

2019

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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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Toward Causal Representation Learning

Learning Loss for Active Learning

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

RLBench: The Robot Learning Benchmark & Learning Environment

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

Learning to Prompt for Continual Learning

Learning to Detect

Fast-Convergent Federated Learning

Meta-Transfer Learning for Few-Shot Learning

Deep learning‐based SCUC decision‐making: An intelligent data‐driven approach with self‐learning capabilities

Model-Based Deep Learning

Applications of Deep Learning and Reinforcement Learning to Biological Data

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

Transfer Learning in Deep Reinforcement Learning: A Survey

Robust Aggregation for Federated Learning

Corrections to "Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning" [Aug 21 3458-3470]

Deep Reinforcement Learning: A Survey

The influence of online learning barriers and students’ learning independence on the learning outcomes of class VIII students of SMPN 1 V Koto Kampung Dalam

Plant Disease Detection and Classification by Deep Learning-A Review

Blind Federated Edge Learning

Large Scale Incremental Learning

Graph Learning: A Survey

Cooperative Wind Farm Control With Deep Reinforcement Learning and Knowledge-Assisted Learning

Variational Adversarial Active Learning

Task-Driven Dictionary Learning

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