[论文翻译] Learning Without Forgetting - 代码天地

[论文翻译] Learning Without Forgetting

企业开发 2022-04-04 21:55:32 阅读次数: 0

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转载自blog.csdn.net/qq_40714949/article/details/123581192

[论文翻译] Learning Without Forgetting

[论文阅读] Learning Without Forgetting

Learning without Forgetting 论文阅读和对应代码详解

Learning without Forgetting 详解（LwF）

2020-CVPR-《Mnemonics Training：Multi-Class Incremental Learning Without Forgetting》论文阅读笔记

Incremental Learning of Object Detectors without Catastrophic Forgetting详解

【博士每天一篇文献-算法】Learning without forgetting

[论文阅读] Learning without Memorizing

论文笔记-Deep Face Detector Adaptation without Negative Transfer or Catastrophic Forgetting

[论文分享] Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima

机器学习：Leaning without Forgetting -- 增量学习中的抑制遗忘

论文---overcoming catastrophic forgetting in neural networks理解

论文笔记：Multi-Institutional Deep Learning Modeling Without Sharing Patient Data

【论文阅读】SQLNet: GENERATING STRUCTURED QUERIES FROM NATURAL LANGUAGE WITHOUT REINFORCEMENT LEARNING

HAT-Overcoming Catastrophic Forgetting with Hard Attention to the Task翻译

[论文翻译] iCaRL: Incremental Classifier and Representation Learning

[论文翻译] Active Learning by Feature Mixing

Bao: Learning to Steer Query Optimizers 论文翻译

持续学习 | continual learning 和灾难性遗忘 | catastrophic forgetting

“Life Long Learning”（终身学习）和“灾难性遗忘”（catastrophic forgetting）

论文翻译--StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning

Deep Residual Learning for Image Recognition论文翻译（非google翻译）

《Learning to Count without Annotations》CVPR2024

【论文翻译】ResNet论文中英对照翻译--（Deep Residual Learning for Image Recognition）

FusionSeg_Learning to combine motion and appearance for fully automatic 论文翻译

GraRep: Learning Graph Representations with Global Structural Information论文解读（翻译）

Discriminative Feature Learning for Unsupervised Video Summarization（论文翻译）

《Xception: Deep Learning with Depthwise Separable Convolutions》论文翻译

论文翻译：Learning Action Recognition Model From Depth and Skeleton Videos

[论文翻译] Active Learning for Open-set Annotation

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