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## Last Update Date: 2020/03/22 ### Tutorials and Seminars - [Andrew Gordon Wilson on Bayesian deep learning; Primer: Pavel Izmailov and Polina Kirichenko](https://www.youtube.com/watch?v=GXs9Pmp6IKQ). Broad Institute of MIT and Harvard. [[Slides](https://polkirichenko.github.io/MIA_talk.pdf)]....

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Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

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### Metadata - Authors: Yarin Gal & Zoubin Ghahramani - Organization: University of Cambridge - Conference: ICML 2016 - Paper: https://arxiv.org/pdf/1506.02142.pdf - Appendix: https://arxiv.org/pdf/1506.02157.pdf (In-depth review of dropout, Gaussian processes...

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Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates

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### Metadata - Author: Leslie N. Smith & Nicholay Topin - Organization: U.S. Naval Research Laboratory & University of Maryland - Paper: https://arxiv.org/pdf/1708.07120.pdf - Code: https://github.com/lnsmith54/super-convergence (Caffe) > Although this...

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### Hello Guys Just publish my first blogpost on Medium — [*"NeurIPS 2019 Notes"*](https://medium.com/@howardyclo/neurips-2019-notes-83fb8d15b5e3). I highlight some of interesting research that I noticed at the conference. Here are the table...

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Cold Fusion: Training Seq2Seq Models Together with Language Models

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### Metadata - Authors: Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh and Adam Coates - Organization: Baidu Research, Sunnyvale, CA, USA. - Release Date: 2017 on Arxiv - Link: https://arxiv.org/pdf/1708.06426.pdf

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Selfie: Self-supervised Pretraining for Image Embedding

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### Metadata - Authors: Trieu H. Trinh, Minh-Thang Luong, Quoc V. Le - Organization: Google Brain - Paper: https://arxiv.org/abs/1906.02940

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How to Read a Paper

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### Source - Video: [Lecture 10: Research Directions - Full Stack Deep Learning - March 2019](https://www.youtube.com/watch?v=vF7UgqaegVI) by Pieter Abbeel. - Slides: https://fullstackdeeplearning.com/assets/slides/fsdl_13_research.pdf  I think this also suggests that how...

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A Recipe for Training Neural Networks

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### Metadata - Author: Andrej Karpathy - Blog post: http://karpathy.github.io/2019/04/25/recipe/ - TL;DR. Just a shorter notes (that are useful for me) of Karpathy's blog post ;-)

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Unsupervised Data Augmentation for Consistency Training

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### Metadata - Authors: Qizhe Xie, Zihang Dai, Eduard Hovy, Minh-Thang Luong, Quoc V. Le - Organization: Google Brain & CMU - Paper: https://arxiv.org/abs/1904.12848 - Conference: It seems like a...

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### Metadata - Authors: Tero Karras, Samuli Laine, Timo Aila - Organization: NVIDIA - Conference: CVPR 2019 - Paper: https://arxiv.org/pdf/1812.04948.pdf - Code: https://github.com/NVlabs/stylegan ### TL;DR  - Propose a style-based...

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