Learning Resources

List of note-worthy papers, blog posts and videos:

[1] Learning to continually learn (ANML): https://arxiv.org/pdf/2002.09571.pdf

[2] Fine-grained image similarity with deep ranking: https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/42945.pdf

[3] Zero-shot learning: https://www.youtube.com/watch?v=jBnCcr-3bXc

[4] Few-shot learning: https://www.youtube.com/watch?v=b8JlilRnhM4

[5] Model Agnostic Meta Learning (MAML): https://www.youtube.com/watch?v=wT45v8sIMDM

[6] Variational Autoencoders: https://towardsdatascience.com/understanding-variational-autoencoders-vaes-f70510919f73

[7] Prototypical networks: https://github.com/jakesnell/prototypical-networks

[8] Weight Agnostic Neural Networks: https://weightagnostic.github.io/

[9] Graph Neural Networks: https://arxiv.org/abs/1901.00596

[10] Restricted Boltzmann Machines, Autoencoders: https://stats.stackexchange.com/questions/114385/what-is-the-difference-between-convolutional-neural-networks-restricted-boltzma/117188#117188

[11] Adversarial Debiasing: https://arxiv.org/pdf/1801.07593.pdf

[12] GPT-3 from OpenAI: https://arxiv.org/pdf/2005.14165.pdf

[13] Shortcut Learning https://arxiv.org/pdf/2004.07780.pdf

[14] Selecting Relevant backbone for few shot classification https://arxiv.org/pdf/2003.09338.pdf

[15] Talk on meta-learning by Hugo Larochelle (Google Brain) https://www.youtube.com/watch?v=AHztfxn60yc&feature=youtu.be

[16] Stanford lecture series on meta-learning: https://www.youtube.com/watch?v=0rZtSwNOTQo&list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5&index=1

[17] SimClr2 Representation learning https://arxiv.org/abs/2006.10029

Online learning resources in algorithms, machine learning, deep learning and other stuff:

[1] https://fullstackdeeplearning.com/march2019

[2] https://projecteuler.net/archives

[3] http://introtodeeplearning.com/

[4] https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-867-machine-learning-fall-2006/

[5] p,NP, NP-hard, NP-complete: https://www.youtube.com/watch?v=DumOqL85Ryc

[6] Harvard's CS50: https://www.edx.org/course/cs50s-introduction-to-computer-science

[7] Apache Beam: https://www.youtube.com/watch?v=I1JUtoDHFcg