This repo will list my notes on all the research papers that I have read
(...and hopefully understood!)
Why only 100 papers! I don't know? I am not a researcher...in the traditional terms. But I do like to keep myself abreast of the latest developments in the ML/DL space. My interest is in its application. Its like what Andrew Ng has said - The power of AI/ML is not what SOTA models they build. But how they help in improving the lives of people.
This is my humble endevour to understand the latest research.
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A Large-scale benchmark for instance-level recognition and retrieval: This paper introduces the GLDv2 dataset Link
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M4 Competition- 100,000 time series and 61 forecasting methods: introduces the M4 competition dataset Link
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A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting: This article explains the method used by the M4 winning algorithm Link
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Analyzing Covid19 twitter stream: It's a summary of the research papers published using the Covid19 tweet dataset Link
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Analyzing three SOTA papers on NLP - first published in 2015