# 論文筆記 - Network Architecture
# Survey
# Neural Architecture Search: A Survey
## [论文笔记系列 - Neural Network Search :A Survey](https://yq.aliyun.com/articles/661799)
---
# Google DeepMind, [Progressive Neural Networks](https://hackmd.io/s/SJoGTU8yN), 2016
---
# Tianqi Chen, Ian Goodfellow, Jonathon Shlens, [Net2Net: Accelerating Learning via Knowledge Transfer](https://hackmd.io/s/rkv4MrLkV), ICLR'16, 2015
### [GitXiv](http://www.gitxiv.com/posts/GgBNprwm8xZ3Tzfwh/net2net-accelerating-learning-via-knowledge-transfer)
- 讓 CNN 根據需要 自動**拓展**架構
- 不屬於 compression 範圍
---
# [Network morphism](https://hackmd.io/s/BJVjy5vk4), ICML 2016
---
# Modularized Morphing of Neural Networks, 2017
- 針對 Network morphism 的問題所做的研究?
---
# Learning without forgetting, ECCV 2016, TPAMI 2017
---
# Overcoming Catastrophic Forgetting by Incremental Moment Matching, NIPS 2017
---
# Lifelong Learning with Dynamically Expandable Networks, ICLR 2018
---
# Simple and efficient architecture search for convolutional neural network, 2017
[网络结构搜索(3) —— Simple and efficient architecture search for convolutional neural network](https://blog.csdn.net/Lucifer_zzq/article/details/83315430)
---
# Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
- 允许收缩体系结构的近似网络结构来减少架构大小
---
# Taskonomy: Disentangling Task Transfer Learning
- [CVPR 2018 Best Paper Taskonomy 作者解读](https://zhuanlan.zhihu.com/p/38425434)
###### tags: `paper notebook`
{"metaMigratedAt":"2023-06-14T18:33:37.386Z","metaMigratedFrom":"Content","title":"論文筆記 - Network Architecture","breaks":true,"contributors":"[{\"id\":\"4abe7eb8-086c-4647-9fa8-1faab06351d5\",\"add\":3191,\"del\":1727}]"}