#TASLP - Twitter Hashtag

about 1 month ago

OKIと中央大学との共同研究成果がIEEEの国際論文誌「#TASLP 」に掲載されました！✨ 音の“わずかな変化”を活かして学習する #AI で少ないデータでも学習しやすく、音や振動の変化を安定して捉えられるため、橋梁や道路、トンネルなどの社会インフラの点検・維持管理に��立つことが期待されています。✨

OKI_electric_JP's tweet photo. OKIと中央大学との共同研究成果がIEEEの国際論文誌「#TASLP 」に掲載されました！✨
音の“わずかな変化”を活かして学習する #AI で少ないデータでも学習しやすく、音や振動の変化を安定して捉えられるため、橋梁や道路、トンネルなどの社会インフラの点検・維持管理に��立つことが期待されています。✨ https://t.co/1gszuv2FIT

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Deezer Research @researchdeezer

about 3 years ago

We are delighted to share: "Zero-Note Samba: Self-Supervised Beat Tracking" by D. Desblancs, @lostanlen, and R. Hennequin, published in the IEEE/ACM Transactions on Audio, Speech, and Language Processing #TASLP! 👏 Paper: https://t.co/yeMBPHw7yA Code: https://t.co/pqxFwER86S

researchdeezer's tweet photo. We are delighted to share:

"Zero-Note Samba: Self-Supervised Beat Tracking"
by D. Desblancs, @lostanlen, and R. Hennequin,

published in the IEEE/ACM Transactions on Audio, Speech, and Language Processing #TASLP! 👏

Paper: https://t.co/yeMBPHw7yA
Code: https://t.co/pqxFwER86S https://t.co/pekWhOJckq

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ILoveYoSo @ILoveYoSo

almost 5 years ago

Imaginez #TASLP « Tourne Avec Les Star du Porno » Sur un Gang Bang Laam et ses partenaires Abdel, Karim, Kevin, et Rudy. Sur un téléfilm érotique Anthony Kavana et Shirley.

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TsinghuaNLP @TsinghuaNLP

about 5 years ago

Our ACM/IEEE #TASLP paper presents CSS-LM that leverages unlabeled instances from corpora and captures richer semantic features for fine-tuning PLMs via contrastive semi-supervised learning. #NLProc #TsinghuaNLP Paper: https://t.co/iJixjkUfKF Code: https://t.co/NExNN9odb4

TsinghuaNLP's tweet photo. Our ACM/IEEE #TASLP paper presents CSS-LM that leverages unlabeled instances from corpora and captures richer semantic features for fine-tuning PLMs via contrastive semi-supervised learning.
#NLProc #TsinghuaNLP
Paper: https://t.co/iJixjkUfKF
Code: https://t.co/NExNN9odb4 https://t.co/2g2eQV00cR

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TsinghuaNLP @TsinghuaNLP

about 5 years ago

We propose a latent model to generate stories from titles. By modeling an outline as a discrete latent variable to bridge the title and story, our model can predict explainable outlines to generate good stories. Paper: https://t.co/3PvbUPkvkQ #NLProc #AI #TsinghuaNLP #TASLP

TsinghuaNLP's tweet photo. We propose a latent model to generate stories from titles. By modeling an outline as a discrete latent variable to bridge the title and story, our model can predict explainable outlines to generate good stories. Paper: https://t.co/3PvbUPkvkQ #NLProc #AI #TsinghuaNLP #TASLP https://t.co/y8zQC78eIu

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TsinghuaNLP @TsinghuaNLP

over 5 years ago

We propose to incorporate sememes, the minimum semantic units of human languages, into recurrent neural networks (RNNs) to improve their sequence modeling ability, which is beneficial to all kinds of downstream tasks. https://t.co/nmMs6MO1nj #NLProc #AI #TsinghuaNLP #TASLP