Oui. En fait, je me suis intéressé à l'apprentissage en lisant le débat entre Piaget et Chomsky "théories du language, théories de l'apprentissage" en 1980.
RESEARCH
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Should AI Weight Known False Evidence in Reasoning?
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Do you give 10% weight to a proof that you know is wrong?
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Most cited neural networks research overview
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The image from https://
people.idsia.ch/~juergen/most-
cited-neural-nets.html
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Collective Defense Against Existential AI Risks
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The answer is no, with any budget.
And even if it were possible for someone to do this, it would also be possible for a bunch of people to design a system to take down the world ender. -
Hinton’s Opinion as Bayesian Evidence for Updating Beliefs
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The "event" that Geoff Hinton concludes "X" should, rationally, update your posterior probability of X, unless you put zero weight on that evidence.
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Few-Shot Domain Adaptation with Polymorphic Transformers
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Few-Shot Domain Adaptation with Polymorphic Transformers Li et al.: https://
arxiv.org/abs/2107.04805 #Transformers #GPT #ChatGPT -
Flawed Logic in Scientific Opinion Formation and Consensus
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I'd like to respectfully point out that the logic in this argument is based on a flawed model for how scientists think. Scientists don't just take a weighted average of others' opinions to form their own. A good scientist takes as input lots of data, including others' opinions,
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Reinforcement Learning Applied to Encrypted Data Security
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Reinforcement Learning on Encrypted Data Jesu et al.: https://
arxiv.org/abs/2109.08236 #ReinforcementLearning #CyberSecurity #QLearning -
Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
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Deep Transformer Q-Networks for Partially Observable Reinforcement Learning Kevin Esslinger, Robert Platt, Christopher Amato : https://
arxiv.org/abs/2206.01078 #Transformers #QNetworks #ReinforcementLearning