Great to have @AIMathematics at @caltech
RESEARCH
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Google’s AI Dilemma: Innovation Speed Versus Ethical Principles
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Google’s AI dilemma: Move fast or ‘Don’t be evil’?
#AI #AIio #BigData #ML #NLU #Futureofwork @IIoT_World @ipfconline1 @jblefevre60 @JimMarous @insurtechtalk @KirkDBorne @kuriharan @LouisSerge http://
ow.ly/rHyg30swnqE -
Coral grounds AI responses with source citations
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Coral is grounded. Workers need to understand where information is coming from. To help verify responses, Coral produces citations from relevant data sources. Our models are trained to seek relevant data based on a user's need (even from multiple sources).
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Hiera: Hierarchical Vision Transformer without Bells-and-Whistles
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Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles https://
bit.ly/3OrVBW3 6/7 -
ICML 2023 Papers and Team Workshop Connections
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Bonus: Want to see more of our ICML papers? Or where you can connect with our team at workshops if you're at the conference? More info on our #ICML2023 page https://
bit.ly/452XCgZ 7/7 -
Masked Trajectory Models for Prediction, Representation, and Control
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Masked Trajectory Models for Prediction, Representation, and Control https://
bit.ly/43EMc1N 4/7 -
Hyperbolic Image-Text Representations Research
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Hyperbolic Image-Text Representations https://
bit.ly/3YlLC8h 5/7 -
ELSA: Efficient Label Shift Adaptation Semiparametric Models
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ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models https://
bit.ly/43EbRHU 2/7 -
Learnable Reward-Mixing MDPs with Few Latent Contexts
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Reward-Mixing MDPs with Few Latent Contexts are Learnable https://
bit.ly/3KzS4Tt 3/7 -
ICML 2023: New Research Papers Released This Week
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#ICML2023 — Here are interesting new papers we’re sharing this week — and links to access all of them right now.