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arimorcos
searching PlanetScale…
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1.
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Deep-Dive into Building the Best Data Curation Engine for LLMs
(datologyai.com)
3 points
by
arimorcos
2y ago
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0 comments
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DatologyAI – Making models better through better data, automatically
(datologyai.com)
1 points
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arimorcos
3y ago
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0 comments
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Beyond neural scaling laws: beating power law scaling via data pruning
(arxiv.org)
2 points
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arimorcos
4y ago
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0 comments
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Easy-to-interpret neurons may hinder learning in deep neural networks
(ai.facebook.com)
3 points
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arimorcos
6y ago
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0 comments
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Pooling is neither necessary nor sufficient for deformation stability in CNNs
(arxiv.org)
1 points
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arimorcos
8y ago
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arimorcos
9y ago
Author here. Indeed, our work is closely related to dropout. However, as we discuss in the paper ( https://arxiv.org/abs/1803.06959 ), dropout doesn't really encourage the network to be robust to deletion generally;
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arimorcos
10y ago
You can't only look at demand. You also have to look at supply. Most machine learning engineers have a masters at least (many have a PhD), and almost all 'scientist' positions require a PhD. Of course there are fewer deep lea
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arimorcos
10y ago
Not according to Demis Hassabis: https://twitter.com/demishassabis/status/739832323160563712
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Not so open skies: American lawmakers take aim at cheap transatlantic flights
(economist.com)
1 points
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arimorcos
10y ago
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by
arimorcos
11y ago
For a book published in late 2014, it's very strange that this book doesn't seem to mention any of the state of the art components in neural networks, including: - Convolutional neural networks - LSTMs - GRUs - Aut
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arimorcos
11y ago
Generative adversarial networks can do this much much better. Check out this blog post: http://www.foldl.me/2015/conditional-gans-face-generation/ and the corresponding paper: http://www.foldl.me/u
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Mining my Google search history for clues, Part I
(arimorcos.com)
3 points
by
arimorcos
11y ago
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0 comments
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Sentiment analysis of movie taglines
(arimorcos.com)
3 points
by
arimorcos
11y ago
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0 comments