50 Days of Deep Learning, Computer Vision, Machine Learning Systems, Information Retrieval

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50 Days of Deep Learning, Computer Vision, Machine Learning Systems, Information Retrieval

I will be starting this exercise of annotating papers/Videos/Blogs to keep of with the latest industry research of Deep Learning, Computer Vision, and Machine Learning Systems, Search & Ranking, Information Retrieval, and Recommendation Systems, Personalization:

A. Deep Learning:

– Embedding Representation
– Contrastive Learning
– Metric Learning
– Multitask Learning
– Self-supervised learning
– Weakly-supervised learning

B. Computer Vision:

– Visual Search
– Object detection and Segmentation

C. Machine Learning systems/Machine Learning Operations:

– 1) Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better [https://arxiv.org/abs/2106.08962]
– 2) Hidden Technical Debt in Machine Learning Systems [https://papers.nips.cc/paper/2015/file/86df7dcfd896fcaf2674f757a2463eba-Paper.pdf]

D. Search & Ranking, Information Retrieval, and Recommendation Systems, Personalization:

You can find those papers on this Github.

AI/ML

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