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A paper supporting our observation (https://arxiv.org/abs/1910.00571 ) that egocentric perspective improves generalization in RL!https://twitter.com/hardmaru/status/1223490316134543362 …
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Andrew Lampinen proslijedio/la je Tweet
Exciting example of the emergentist perspective in the domain of number. Most interesting part: an account of developmental refinement of number sense acuity from experience - this is empirically true but very undertheorized in nativist accounts.https://twitter.com/MateuszHohol/status/1221692220467826688 …
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Andrew Lampinen proslijedio/la je Tweet
We’re honoring
@mcxfrank of@Stanford a recipient of a 2020 Troland Research Award! He is being honored for his pioneering studies into children’s early language learning! http://ow.ly/jbgL50xWpvd#NASaward#Psychologypic.twitter.com/oI0k83qEqp
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Andrew Lampinen proslijedio/la je Tweet
I'm increasingly asked general questions about language by AI and ML practitioners who are interested to start working on it (or who already do so without considering the domain too much) I find my perspective to be quite different from a lot of NLP researchers and intros. 1/2
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Andrew Lampinen proslijedio/la je Tweet
Analyzing toddlers’ early language learning with a novel statistical approach, associate professor of psychology
@mcxfrank found that rule-based grammatical knowledge emerges gradually with a significant increase around the age of 24 months.https://stanford.io/2SPoMpCHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Andrew Lampinen proslijedio/la je Tweet
A new paper has been making the rounds with the intriguing claim that YouTube has a *de-radicalizing* influence. https://arxiv.org/abs/1912.11211 Having read the paper, I wanted to call it wrong, but that would give the paper too much credit, because it is not even wrong. Let me explain.
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Excited to present "Zero-shot task adaptation by homoiconic meta-mapping" at 3:15 tomorrow at the NeurIPS Learning Transferable Skills Workshop! A new perspective on zero-shot adaptation, and a parsimonious implementation of it. Paper and poster in thread!
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Andrew Lampinen proslijedio/la je Tweet
It is commonly said that models like BERT or GPT-2 don't really 'understand', but what does it actually mean to understand language? We try to answer this via a roadmap for human-like understanding of language in machines. https://arxiv.org/abs/1912.05877
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Andrew Lampinen proslijedio/la je Tweet
Will be presenting our work this morning: Please drop by if you are at
#NeurIPS2019 10:45 AM—12:45 PM poster #152 https://twitter.com/Hidenori8Tanaka/status/1197624452281798656 …pic.twitter.com/aCLu5pLxKi
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Andrew Lampinen proslijedio/la je Tweet
Many Labs 4 released!
@rickklein led a tested whether original authors’ involvement in design would improve replicability. It is an appealing and plausible idea—they have tacit knowledge that isn’t available by reading the paper.https://psyarxiv.com/vef2cPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Andrew Lampinen proslijedio/la je Tweet
I'm thrilled to be starting my research group in
@OxExpPsy at@UniofOxford. Interested in deep learning theory and neuroscience? I'm looking for team members! http://www.saxelab.orgHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Andrew Lampinen proslijedio/la je Tweet
Excited to share new work, in collaboration with
@skornblith, investigating the texture bias in ImageNet-trained CNNs: https://arxiv.org/abs/1911.09071 .pic.twitter.com/ZuC74vrghH
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