当前标签：NAS

[CVPR2021] AttentiveNAS： Improving Neural Architecture Search via Attentive Sampling
marsggbo 2022-04-26 20:28 阅读:143 评论:0 推荐:0
ICLR2022 | UniNet: Unified Architecture Search with Convolution, Transformer, and MLP
marsggbo 2021-12-23 23:07 阅读:228 评论:0 推荐:0
ICCV 2021 | BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised NAS
marsggbo 2021-12-21 22:14 阅读:283 评论:0 推荐:0
ICCV 2021 | BN-NAS: 只训练BN层来自动搜索模型
marsggbo 2021-09-14 23:26 阅读:455 评论:0 推荐:0
论文解读 Once for all: Train One Network and Specialize it for Efficient Deployment
marsggbo 2021-07-24 10:45 阅读:1053 评论:0 推荐:0
Retiarii：微软在NAS框架上的新动作，已被顶会OSDI2020接收
marsggbo 2021-05-13 22:43 阅读:827 评论:0 推荐:1
华为诺亚实验室AutoML框架-Vega：(1) 介绍
marsggbo 2021-01-23 15:52 阅读:1215 评论:0 推荐:0
AutoML综述更新 【AutoML：Survey of the State-of-the-Art】
marsggbo 2020-07-09 19:01 阅读:1476 评论:1 推荐:0
【论文笔记系列】- Understanding and Simplifying One-Shot Architecture Search
marsggbo 2020-06-26 16:56 阅读:1123 评论:0 推荐:0
论文笔记系列--Progressive Differentiable Architecture Search：Bridging the Depth Gap between Search and Evaluation
marsggbo 2020-01-23 19:13 阅读:1105 评论:1 推荐:0
论文笔记系列--MnasNet：Platform-Aware Neural Architecture Search for Mobile
marsggbo 2020-01-22 22:07 阅读:3244 评论:0 推荐:1
论文笔记系列-Auto-DeepLab:Hierarchical Neural Architecture Search for Semantic Image Segmentation
marsggbo 2019-09-14 17:50 阅读:1269 评论:0 推荐:0
Network Architecture Search Survey
marsggbo 2018-10-14 11:13 阅读:721 评论:0 推荐:0
论文笔记系列-Efficient Neural Architecture Search via Parameter Sharing
marsggbo 2018-08-07 11:26 阅读:3717 评论:0 推荐:1
论文笔记系列-Neural Architecture Search With Reinforcement Learning
marsggbo 2018-07-21 19:11 阅读:2399 评论:0 推荐:0