#WikiSQL - Tagar Twitter

hampir 6 tahun yang lalu

I trained my first #seq2seq model on #wikiSQL dataset by using Warm-starting encoder-decoder model (BERT2BERT w/ shared encoder weighs) and results are not bad at all. I will upload the model and how to train it to @huggingface #NLP #BERT

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Manu Romero

@mrm8488

sekitar 6 tahun yang lalu

T5 fine-tuned on #wikiSQL as translation task. I am impressed with the results! Ofc, the model will be availiable at @huggingface #NLP #SQL.

mrm8488's tweet photo. T5 fine-tuned on #wikiSQL as translation task.
I am impressed with the results!
Ofc, the model will be availiable at @huggingface
#NLP #SQL. https://t.co/0JlDUPE12w

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Mohammad Norouzi

@mo_norouzi

lebih dari 7 tahun yang lalu

@hllo_wrld @JonathanBerant @quocleix @rishabh_467 has been able to outperform MAPO on weakly supervised #WikiSQL using MeRL (meta reward learning). The paper is accepted at #ICML2019 (https://t.co/0Gld1J6XUD).

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Victor Zhong @hllo_wrld

lebih dari 7 tahun yang lalu

I have updated #WikiSQL to include a new leaderboard for weakly supervised models! Currently the top model is MAPO by Liang, @Mo_Norouzi, @JonathanBerant, @quocleix & Lao. If you know of any other weakly supervised work, please let me know! #NLProc

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