Work by Rafal Kocielnik, @SaraKangaslahti @shrimai_ @rmichaelalvarez @caltech @nvidia Appeared at #Neurips workshop on transfer learning in NLP
@animaanandkumar
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Active Learning and Transfer Learning in Few-Shot LLM Settings
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How can we mix active and transfer learning in few-shot learning setting with pre-trained LLMs? We show that you need to label only few samples in-domain and leverage on transfer learning from out-domain along with ingrained knowledge in pretrained models
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Minedojo Featured in Foundation Models for Decision Making Article
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Thank you @laxmevy for featuring Minedojo in an in-depth article on using pre-trained foundation models for decision making
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AI4Science Workshop Registration Deadline at Caltech February 3rd
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Deadline to register for AI4Science workshop at @caltech on Feb. 3rd
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Discussion on MineDojo Award-Winning Paper with TWML AI
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It was great to talk to @samcharrington after a long time for @twimlai and talk about Minedojo, our award winning paper with @DrJimFan @yukez @guanzhi_wang @YunfanJiang @yyupsong @AjayMandlekar @HaoyiZhu @deanh_tw @nvidia https://t.co/6Sopy0XK63
— Prof. Anima Anandkumar (@AnimaAnandkumar) 31 janvier 2023It was great to talk to @samcharrington after a long time for @twimlai and talk about Minedojo, our award winning paper with @DrJimFan @yukez @guanzhi_wang @YunfanJiang @yyupsong @AjayMandlekar @HaoyiZhu @deanh_tw @nvidia
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Argonne Impact Award for ACM Gordon Bell Prize Genome Scale Language Model
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Proud to be awarded @argonne_lcf Impact Award for winning team of @TheOfficialACM 2022 Gordon Bell Special Prize for building #genome scale #LM to help predict new variants of concern #SARSCoV2 with @arvindr_ @yuntiandeng @wn8_nie @ChaoweiX @ArashVahdat @sacdallago @nvidia
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FNO Predicts Flows in Milliseconds for Predictive Control
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FNO predicts flows in milliseconds, enabling faster-than-real-time modeling for predictive flow control in physical systems. First results on experimental data: fully data-driven and no need for simulations. @SahinLale @Caltech
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Congratulations to Researchers Appearing at ICLR 2023
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Now appearing at #iclr2023 Congratulations @ChaoweiX @NVIDIAAI @Caltech @dawnsongtweets
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Notable Top 25% Paper Accepted at ICLR 2023
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Now appearing at #ICLR2023 as notable-top-25% Congratulations @ChaoweiX @wn8_nie @ZhuoranQ @NVIDIAAI @Caltech
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AI4Science Workshop: AI for Scientific Simulations and Applications
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AI4Science workshop focuses on AI for Accelerating and Enhancing Scientific Simulations. It includes both the foundations, such as neural operators and Gaussian processes, as well as diverse applications in mechanics, fluid dynamics, seismology, biology, etc.