Yi-Chen (Howard) Lo

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...

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 ;-)

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...

### 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...

Few-Shot Unsupervised Image-to-Image Translation

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### Metadata - Authors: Ming-Yu Liu, Xun Huang, +4 authors, Jan Kautz - Organization: NVIDIA, Cornell University, Aalto University - Paper: https://arxiv.org/pdf/1905.01723.pdf - Code: https://github.com/NVlabs/FUNIT - Video: https://youtu.be/kgPAqsC8PLM - Demo:...

SinGAN: Learning a Generative Model from a Single Natural Image

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### Metadata - Authors: Tamar Rott Shaham, Tali Dekel, Tomer Michaeli - Organization: Technion & Google Research - Paper: https://arxiv.org/pdf/1905.01164.pdf - Video: https://www.youtube.com/watch?v=xk8bWLZk4DU&feature=youtu.be

DVQA: Understanding Data Visualizations via Question Answering

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### Metadata - Authors: Kushal Kafle, Scott Cohen, +1 author Christopher Kanan - Organization: Rochester Institute of Technology & Adobe Research - Conference: CVPR 2018 - Paper: https://arxiv.org/pdf/1801.08163.pdf - Code:...

Model Agnostic Meta Learning Algorithms

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## Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (MAML) - Authors: Chelsea Finn, Pieter Abbeel, Sergey Levine - Organization: UC Berkeley & OpenAI - Conference: ICML 2017 - Paper:...

Universal Bounding Box Regression and Its Applications

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### Metadata - Authors: Seungkwan Lee, Suha Kwak, and Minsu Cho - Organization: Dept. of Computer Science and Engineering, POSTECH, Korea. - Conference: ACCV 2018 - Paper: https://arxiv.org/pdf/1904.06805.pdf

Compositional Attention Networks for Machine Reasoning

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### Metadata - Authors: Drew A. Hudson and Christopher D. Manning - Organization: Stanford University - Conference: ICLR 2018 - Paper: https://arxiv.org/pdf/1803.03067.pdf - Code: https://github.com/stanfordnlp/mac-network - Video: https://www.youtube.com/watch?v=jpNLp9SnTF8