蒸馏式持续学习：Progress & Compress: A scalable framework for continual learning - 代码天地

蒸馏式持续学习：Progress & Compress: A scalable framework for continual learning

其他 2020-08-05 16:16:08 阅读次数: 0

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转载自blog.csdn.net/g534441921/article/details/107620458

蒸馏式持续学习：Progress & Compress: A scalable framework for continual learning

Three scenarios for continual learning

Variational Continual Learning

连续学习入门（一）：Continual Learning / Incremental Learning / Life Long Learning 问题背景及研究挑战

NIPS 2018 continual learning workshops

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

连续性学习论文及代码汇总 continual learning papers and code

Policy Consolidation for Continual Reinforcement Learning(2019 DeepMind)

Compacting, Picking and Growing for Unforgetting Continual Learning 论文及代码流程解读

【ICLR 2022】Towards Continual Knowledge Learning of Language Models

NASNet：Learning Transferable Architectures for Scalable Image Recognition

机器学习笔记：node2vec（论文笔记：node2vec: Scalable Feature Learning for Networks）

Paper Review: FINN: A Framework for Fast, Scalable Binarized Neural Network Inference

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【PaperReading】metapath2vec: Scalable Representation Learning for Heterogeneous Networks

Conditional Channel Gated Networks for Task-Aware Continual Learning --CVPR 2020 (oral)

Federated Continual Learning with Weighted Inter-client Transfer——论文笔记

《Rethinking Video Anomaly Detection - A Continual Learning Approach》异常检测 WACV-2022

DRN: A Deep Reinforcement Learning Framework for News Recommendation学习

A Simple Framework for Contrastive Learning of Visual Representations[论文学习] SimCLR

Deploying Scalable Machine Learning for Data Science 为数据科学部署可扩展的机器学习 Lynda课程中文字幕

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