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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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Model-Contrastive Federated Learning

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

2021

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Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

2018 IEEE Symposium on Security and Privacy (SP), 2018, p.19-35

2018

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Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.9042-9051

2021

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End-to-End Incremental Learning

Computer Vision – ECCV 2018, p.241-257

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DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.9275-9285

2022

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Stealing Hyperparameters in Machine Learning

2018 IEEE Symposium on Security and Privacy (SP), 2018, p.36-52

2018

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Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.2970-2979

2017

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DaDianNao: A Machine-Learning Supercomputer

2014 47th Annual IEEE/ACM International Symposium on Microarchitecture, 2014, p.609-622

2014

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Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, Vol.2021, p.2423-2432

2021

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Adversarial machine learning

Proceedings of the 4th ACM workshop on security and artificial intelligence, 2011, p.43-58

2011

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SCNet: Learning Semantic Correspondence

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.1849-1858

2017

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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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Spatially Consistent Representation Learning

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.1144-1153

2021

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Deep transfer metric learning

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, p.325-333

2015

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Contrastive Learning for Compact Single Image Dehazing

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.10546-10555

2021

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When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning

IEEE INFOCOM 2018 - IEEE Conference on Computer Communications, 2018, p.63-71

2018

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Deep Learning Face Attributes in the Wild

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.3730-3738

2015

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Cost-Effective Federated Learning Design

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications, 2021, p.1-10

2021

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Learning with Drift Detection

Advances in Artificial Intelligence – SBIA 2004, 2004, p.286-295

2004

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HashNet: Deep Learning to Hash by Continuation

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.5609-5618

2017

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Learning Deep Structure-Preserving Image-Text Embeddings

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.5005-5013

2016

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Learning Deep Representation for Imbalanced Classification

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.5375-5384

2016

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Saliency detection by multi-context deep learning

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, p.1265-1274

2015

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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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Learning to Prompt for Continual Learning

Model-Contrastive Federated Learning

Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning

End-to-End Incremental Learning

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

Stealing Hyperparameters in Machine Learning

Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

DaDianNao: A Machine-Learning Supercomputer

Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning

Adversarial machine learning

SCNet: Learning Semantic Correspondence

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

Spatially Consistent Representation Learning

Deep transfer metric learning

Contrastive Learning for Compact Single Image Dehazing

When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning

Deep Learning Face Attributes in the Wild

Cost-Effective Federated Learning Design

Learning with Drift Detection

HashNet: Deep Learning to Hash by Continuation

Learning Deep Structure-Preserving Image-Text Embeddings

Learning Deep Representation for Imbalanced Classification

Saliency detection by multi-context deep learning

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

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