#NeurIPS2022 come to see our poster "Incremental Fourier Neural Operator" at AI4Science Workshop on Fri. (12pm). We incrementally augment frequency modes and data resolution during the training of FNO, which brings better generalization and less computational cost. x.com/zongyili_nyu/s…
RESEARCH
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Grad Student Timeline Incentives Impact Career Readiness
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I can see this perspective, but ironically it seems like a negative to me. Incentivizes pushing grad students out the door, whether they feel they're ready to go or not. I'm really thankful my advisor let me stay for 6 years. What side do other folks here fall on?
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Pros and Cons of Artificial Intelligence Explained
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The Pros And Cons Of Artificial Intelligence https://
forbes.com/sites/qai/2022
/12/01/the-pros-and-cons-of-artificial-intelligence/
… #AI #MachineLearning #DataScience #IoT #serverless #womenwhocode #Robots #100DaysofCode @Shi4Tech @anijov @FmFrancoise @CatherineAdenle @enilev @JAdP #BigData #Analytics #DigitalTransformation #DeepLearning -
Meta’s AI Mastered Power-Seeking Strategy in Diplomacy Game
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Meta’s new #AI is skilled at a ruthless, power-seeking game https://
washingtonpost.com/technology/202
2/12/01/meta-diplomacy-ai-cicero/
… @washingtonpost #ArtificialIntelligence #MachineLearning #Robots #BigData #Analytics #100DaysofCode #IoT #serverless #DEVCommunity #womenwhocode #DigitalTransformation #DataScience #DeepLearning -
CASCADE: Learning World Models with Multi-Agent Reward-Free Data
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Learning General World Models in a Handful of Reward-Free Deployments.
CASCADE seeks to learn a world model by collecting data with a population of agents. @YingchenX
, @JParkerHolder
, @AldoPacchiano
, @PhilipJohnBall
, @_Oleh
, Stephen J. Roberts, @_Rockt
, @EGrefen -
SAMPLR: Minimax Regret Method for Unsupervised Environment Design
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Grounding Aleatoric Uncertainty for Unsupervised Environment Design. @MinqiJiang
, @MichaelD1729
, @JParkerHolder
, @_AndreiLupu
, Heinrich Küttler, @EGrefen
, @_Rockt
, @J_Foerst propose SAMPLR, a minimax regret UED method that optimizes the ground-truth utility function. -
Language Dynamics Distillation Improves Policy Learning
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Improving Policy Learning via Language Dynamics Distillation. @hllo_wrld
, @Jayelmnop
, @LukeZettlemoyer
, @EGrefen
, @_rockt propose Language Dynamics Distillation (LDD), which pretrains a model to predict environment dynamics given demonstrations with language descriptions -
Language Abstractions Improve Intrinsic Exploration in AI
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Improving Intrinsic Exploration with Language Abstractions. @Jayelmnop
, @hllo_wrld
, @RobertaRail
, @MinqiJiang
, Noah Goodman, @_rockt
, @EGrefen explore natural language as a general medium for highlighting relevant abstractions in an environment. -
Compression Enhances Generalization in Multilingual NER Models
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Intriguing Properties of Compression on Multilingual Models. This paper finds that compression confers several interesting & prev. unknown generalization properties on mBERT NER models. Kelechi Ogueji, Orevaoghene Ahia, @lekeOnilude
, Sebastian Gehrmann, @SaraHookr
, @KreutzerJulia -
Exploration Integral to General Intelligence and Learning Systems
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General Intelligence Requires Rethinking Exploration. @MinqiJiang
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@_rockt
, @EGrefen argue that exploration is integral to all learning systems despite the fact that the study of exploration in AI has mostly focused on reinforcement learning.