aneesh-shetye/notes

Notes on various ml-related subjects and research papers.

David Silver Lecture Notes:

Lec No.	Heading	Link
2.	Markov Decision Process	https://hackmd.io/s_4pDFppQsifr8Q-7Ri-LQ
3.	Planning by dynamic programming	https://hackmd.io/cJIDKE3nQ4yLQMYmyEgC2w
5.	Model Free Control	https://hackmd.io/9UOf13dnTTGN5QaGmKEUHg
6.	Value Function Approximation	https://hackmd.io/GAGtCNGHSQamAgxGd3B_GA

VQA Paper Notes:

NOTE: Many Notes contain only the introduction, motivation/novelty and the model architecture. Completed notes will be subsequently pushed to the IvLabs' Research Paper Notes repository.

Sr.No.	Name	Paper Link	Notes
1.	Answer Them All! Toward Universal Visual Question Answering Models	https://arxiv.org/abs/1903.00366	https://hackmd.io/X3dr2qeaTWOPCYtajhW16A
2.	TallyQA Answering Complex Counting Questions	https://arxiv.org/abs/1810.12440	https://hackmd.io/I_vuiOexSEC45XMFDpeBTA
3.	Learning to Answer Questions From Image Using Convolutional Neural Network	https://arxiv.org/abs/1506.00333	https://hackmd.io/VReJUQKJRiKypKpGBCDLqw
4.	A Focused Dynamic Attention Model for Visual Question Answering	https://arxiv.org/abs/1604.01485	https://hackmd.io/UWmL5TyUTxmzPQNe4X5IFg
5.	ABC-CNN : An Attention Based Convolutional Neural Network for Visual Question Answering	https://arxiv.org/abs/1511.05960	https://hackmd.io/rIwLt62kTkSeD0ZcV278aw
6.	Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding	https://arxiv.org/abs/1606.01847	https://hackmd.io/6Z1tPhpjQ820EMXVvSz5CQ