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Here we list and detail out our progress, which includes but is not restricted to:

• Stanford CS231n Assignments
• Paper reviews
• Explorations of concepts, domains, fields, etc.

CS231n Assignments - Github

• Jaewon Chung
• Jinho Lee

Papers

• [01.05] Deformable Convolutional Networks (arXiv/review)
• [01.12] You Only Look Once: Unified, Real Time Object Detection (arXiv/review)
• [01.12] Ask Me Anything: Dynamic Memory Networks for Natural Language Processing (arXiv/review)
• [01.12] Image Super-Resolution Using Deep Convolutional Networks (arXiv/review/history)
• [01.19] XNOR-Nets: ImageNet Classification Using Binary Convolutional Neural Networks (arXiv/review)
• [01.19] Show and Tell: A Neural Image Caption Generator (arXiv/review)
• [01.19] word2vec: Efficient Estimation of Word Representations in Vector Space(arXiv/review)
• [01.26] AmbientGAN: Generative Models from Lossy Measurements (paper/review)

Concepts

• [01.05] Generative Adversarial Nets (arXiv/background/brief_review)
• [01.12] Single Image Super-Resolution (history)
• [01.26] Autoencoders (background/review)

Posts

• [01.26] Tutorial for cs231n Assignment Setup with GCP(Google Cloud Platform) (github repo)