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Active and Self-Supervised Learning for Data Selection - Igor Susmelj
DataTalksClub ⬛
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Active Learning | Overcoming Data Scarcity | Igor Susmelj
AMLD Intelligence Summit
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2021 open house - self-supervised learning for genomics (Fergus Imrie)
van der Schaar Lab
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8: Deep Learning for Natural Language – Transformers, Self-Supervised Learning
MIT OpenCourseWare
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Cold-start Active Learning through Self-Supervised Language Modeling
Jordan Boyd-Graber
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Nikunj Saunshi: Theory for self-supervised learning
RISE Research Institutes of Sweden
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Random Noise Suppression In Seismic Data Using Self-Supervised Learning
Ruslan Miftakhov - AI Research
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35:03
EP. 140 A Fireside Chat with The co-founder of Lightly.ai - Igor Susmelj
Fuse - Founders Guiding Founders
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7:37
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