Decision tree learning, Brain, Medical imaging, Visual Bash, Detection theory, Machine learning

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On Oct 14, 2020
@stanfordnlp shared
RT @xikun_zhang_: Do Language Embeddings Capture Scales? e.g. Can embeddings learned from pretrained language models predict the price of a ring or the weight of an elephant? New paper available at https://t.co/MOEHi6x5Z9 which was done during my internship at @GoogleAI! To be published ... https://t.co/wBHKabm6Uu
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Our primary resource for the scalar probing task is Distributions over Quantities (DoQ; Elazar et al., 2019) which consists of empirical counts of scalar attribute values associated with >350K nouns, ad- jectives, and verbs over 10 different attributes, col- lected from web data. We ...

arxiv.org
On Oct 14, 2020
@stanfordnlp shared
RT @xikun_zhang_: Do Language Embeddings Capture Scales? e.g. Can embeddings learned from pretrained language models predict the price of a ring or the weight of an elephant? New paper available at https://t.co/MOEHi6x5Z9 which was done during my internship at @GoogleAI! To be published ... https://t.co/wBHKabm6Uu
Open

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Our primary resource for the scalar probing task is Distributions over Quantities (DoQ; Elazar et al., 2019) which consists of empirical counts of scalar attribute values associated with ...

Generative Adversarial Nets

Generative Adversarial Nets

(1) In the next section, we present a theoretical analysis of adversarial nets, essentially showing that the training criterion allows one to recover the data generating distribution as G ...

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In this discipline we can distinguish three major categories of problems approached in different manners: • In Supervised learning, the algorithm is fed with a couple ({example ...

Join GitHub today

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A collection of popular anomaly detection methods (iid/point-based and time series) including active learning for anomaly detection/discovery, description for ...

How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings

How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings

Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings Kawin Ethayarajh∗ Stanford University [email protected] Abstract Replacing static word embeddings with con- textualized word ...

How to estimate the age of your brain with MRI data

How to estimate the age of your brain with MRI data

A practical guide for applying machine learning in healthcare