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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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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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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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Large Scale Incremental Learning

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

2019

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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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Learning Without Memorizing

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.5133-5141

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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Learning to Fly-a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, p.7512-7519

2021

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Study on the difficulties chemistry’s learning with recommendation for learning media during virtual learning

AIP Conference Proceedings, 2024, Vol.2622 (1)

2024

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Code Difference Guided Adversarial Example Generation for Deep Code Models

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.850-862

2023

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On-the-fly Improving Performance of Deep Code Models via Input Denoising

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.560-572

2023

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Network Representation Learning: A Survey

IEEE transactions on big data, 2020-03, Vol.6 (1), p.3-28

2020

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SecureBoost: A Lossless Federated Learning Framework

IEEE intelligent systems, 2021-11, Vol.36 (6), p.87-98

2021

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Learning Graphs to Match

2013 IEEE International Conference on Computer Vision, 2013, p.25-32

2013

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Weakly Supervised Contrastive Learning

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.10022-10031

2021

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Task Agnostic Meta-Learning for Few-Shot Learning

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.11711-11719

2019

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Parametric Contrastive Learning

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.695-704

2021

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Taskonomy: Disentangling Task Transfer Learning

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.3712-3722

2018

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A Secure Federated Transfer Learning Framework

IEEE intelligent systems, 2020-07, Vol.35 (4), p.70-82

2020

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The "Something Something" Video Database for Learning and Evaluating Visual Common Sense

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.5843-5851

2017

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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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Region Similarity Representation Learning

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.10519-10528

2021

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The effect of blended learning-oriented problem based learning model on students’ mathematics learning outcomes

AIP Conference Proceedings, 2023, Vol.2733 (1)

2023

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Contrastive Learning for Sequential Recommendation

2022 IEEE 38th International Conference on Data Engineering (ICDE), 2022, p.1259-1273

2022

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Learning Loss for Active Learning

Meta-Transfer Learning for Few-Shot Learning

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

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

Large Scale Incremental Learning

Variational Adversarial Active Learning

Learning Without Memorizing

Graph Learning: A Survey

Learning to Fly-a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control

Study on the difficulties chemistry’s learning with recommendation for learning media during virtual learning

Code Difference Guided Adversarial Example Generation for Deep Code Models

On-the-fly Improving Performance of Deep Code Models via Input Denoising

Network Representation Learning: A Survey

SecureBoost: A Lossless Federated Learning Framework

Learning Graphs to Match

Weakly Supervised Contrastive Learning

Task Agnostic Meta-Learning for Few-Shot Learning

Parametric Contrastive Learning

Taskonomy: Disentangling Task Transfer Learning

A Secure Federated Transfer Learning Framework

The "Something Something" Video Database for Learning and Evaluating Visual Common Sense

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

Region Similarity Representation Learning

The effect of blended learning-oriented problem based learning model on students’ mathematics learning outcomes

Contrastive Learning for Sequential Recommendation

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