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PyTorch KR Tutorial Competition 2018

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1. 약 61,860 개 영어의 SQuAD, MS MARCO 문서와 질문 쌍에 대해 특정한 문장을 넣을 경우, 문장에 대한 질문을 생성하는 Question Generation 모델. 2. Learning to Ask: Neural Question Generation...

* Best Tutorial Award - [DARTS: Differentiable Architecture Search Tutorial (차준범)](https://github.com/PyTorchKR/Tutorial-Competition-2018/issues/3) - NVIDIA Titan XP - ~PyTorch KR Developer Conference 2019 튜토리얼 발표~ (불참) * Runners-up - [Geometric Deep Learning...

### 리뷰할 논문 [Exploration by Random Network Distillation](https://arxiv.org/abs/1810.12894) by OpenAI

1. Non Euclidean Space data 중, Graph Handling 에 대한 전반적인 소개 2. 리뷰할 논문 - [Geometric Deep Learning: Going Beyond Euclidean Data](https://arxiv.org/pdf/1611.08097.pdf) - [Revisiting Semi-Supervised Learning with Graph Embeddings](https://arxiv.org/pdf/1603.08861.pdf)...

Main Tutorial Submission Deadline is **December 15th 23:59:59 KST**. Late Submission Deadline is **December 25th 23:59:59 KST**. Those who submitted after the main deadline (December 15th) will have a penalty...

# DARTS: Differentiable Architecture Search Tutorial 1. NAS 에 대한 전반적인 소개 2. 리뷰할 논문 - 여러 NAS 논문들을 간단히 소개하고, DARTS: Differentiable Architecture Search 논문을 자세히 소개 - Liu,...

1. Recent progress in semantic image segmentation [논문](https://arxiv.org/abs/1809.10198) 을 기반으로 Semantic Segmentation 기술의 최근 흐름에 대한 간단한 설명 2. 리뷰할 논문: [Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation:...

# [ Adversarial Attack and Example ] ### 1. Adversarial Attack에 대한 전반적인 소개 ### 2. 리뷰할 논문 - [Intriguing properties of neural networks](https://arxiv.org/abs/1312.6199) - [Explaining and Harnessing Adversarial Examples](https://arxiv.org/abs/1412.6572)...

## Pytorch Hair Segmentation * Semantic Segmentation 에 대한 전반적인 소개 * Unet 등 Semantic Segmentation 모델링 * Figaro 데이터셋을 통한 데이터 로더부터 Caffe2 로의 모델 컨버팅까지

# [Object Detection] ### 1. Object Detection에 대한 전반적인 소개 ### 2. 리뷰할 논문 - [You Only Look once: Unified, Real-Time Object Detection](https://arxiv.org/pdf/1506.02640.pdf) ### 3. Yolo v1 example code ###...