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My personal notes and surveys on DL, CV and NLP papers.
### Metadata - Authors: Guillaume Lample, Ludovic Denoyer, Marc'Aurelio Ranzato - Organization: Facebook AI Research - Conference: ICLR 2018 - Link: https://openreview.net/forum?id=rkYTTf-AZ
### Metadata - Authors: Pascal Mettes, Elise van der Pol, Cees G. M. Snoek - Organization: University of Amsterdam - Conference: NeurIPS 2019 - Paper: https://arxiv.org/pdf/1901.10514.pdf - Code: https://github.com/psmmettes/hpn
### Metadata - Author: Sangdoo Yun, Seong Joon Oh, +3, Sanghyuk Chun - Organization: NAVER AI LAB - Paper: https://arxiv.org/abs/2101.05022 - Code: https://github.com/naver-ai/relabel_imagenet
### Metadata: Knowledge Distillation Meets Self-Supervision - Author: Guodong Xu, Ziwei Liu, Xiaoxiao Li, Chen Change Loy - Organization: The Chinese University of Hong Kong & Nanyang Technological University -...
### Metadata - Authors: Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson - Organization: New York University - Conference: NeurIPS 2020 - Paper: https://arxiv.org/pdf/2006.08545.pdf - Code: https://github.com/PolinaKirichenko/flows_ood. ### Background: Training and...
### Metadata - Authors: [Lei Huang](https://huangleibuaa.github.io/), Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao - Organization: [Inception Institute of Artificial Intelligence, Abu Dhabi, UAE](https://www.inceptioniai.org/) - Paper: https://arxiv.org/pdf/2009.12836.pdf >...
Hi guys, I just released the ["CVPR 2020 Notes" on my Medium blog](https://medium.com/@howardyclo/cvpr-2020-notes-9b3bbd357b2d). Please check it out!
### Metadata - Speaker: Cedric Archambeau - Video: https://www.youtube.com/watch?v=pB1LmZWK_N8 - Website (more about HPO and NAS): https://hangzhang.org/CVPR2020/ - See more on my NAS survey: #55 ### Hyper-parameter Tuning as Global...
## Neural Architecture Search TL;DR This TL;DR aims to help myself getting a quick view of neural architecture search literature. Hopes it helps you too 😁! > Designing neural network...
### Update Date: 2020.04.18 - [A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning](http://openaccess.thecvf.com/content_cvpr_2017/papers/Yim_A_Gift_From_CVPR_2017_paper.pdf). Yim et al. KAIST. CVPR 2017. - [Similarity-Preserving Knowledge Distillation](http://openaccess.thecvf.com/content_ICCV_2019/papers/Tung_Similarity-Preserving_Knowledge_Distillation_ICCV_2019_paper.pdf). Tung et al....