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View Code? Open in Web Editor NEWThe implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18
The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18
Hi, Junkun. Thanks for this fantastic work! I am wondering whether you could provide the code of experiments in the paper (https://arxiv.org/abs/1802.08969).
It would be useful for me to reproduce the performance and get a full knowledge of meta-LSTM. Thanks a lot!
Hello, I am a student from China. I am also studying the use of meta learning algorithm to learn LSTM model. At present, many algorithms are not suitable, but I am very excited after reading your paper. I'd like to discuss with you the basic LSTM network construction of this algorithm (do you use the structure in the library or build it manually?) At present, we are studying and predicting the data of wind turbine. If there is a breakthrough, make sure to quote your paper in the future, and continue to promote your algorithm in your name. Thank you for your guidance.
Hello and thank you for releasing the code, I was curios if you have an estimated time for when the pytorch version will be released.
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