Andrew Fairless, Ph.D.
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Entries tagged :: labeling
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2024-04-17
What I Read: High-Quality Human Data
2023-08-21
What I Read: Disagreement Modelling
2022-07-11
What I Read: Weak Supervision
2022-04-27
What I Read: Bootstrapping Labels
2021-09-14
What I Read: Systems for Machine Learning
2021-06-15
What I Read: Dataset Curation for NLP Projects
2021-02-07
What I Read: Reproducing Deep Double Descent
2021-02-06
What I Read: Deep Double Descent: Where Bigger Models and More Data Hurt
2021-02-04
What I Read: “Less than one”-shot learning
2021-01-28
What I Read: Production with Deep Semi-Supervised Learning
2021-01-13
What I Read: Snorkel Tutorial to Predict Multiple Sclerosis
