Volume 213 Proceedings of CLeaR 2023 https://
proceedings.mlr.press/v213/ Is now available on PMLR.
MACHINE LEARNING
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CLeaR 2023 Proceedings Volume 213 Now Available on PMLR
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Workday Transforms Workforce Agility with AI and Machine Learning
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Agility is productivity catalyst. Insights create greater meaning. Thank you @Workday for transforming workforce with agility and insights through #AI and #ML.
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Continuous prediction learning from webcam visual environment data
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If you walk around with a webcam you can be constantly predicting what you'll see next, and checking if those predictions match reality. So the environment is generating data to learn from, but not humans as such. Open environment, open-ended data gathering.
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Folk Theorization, Platform Spirit, and AI-Driven Social Systems Adaptation
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Folk Theorization, Platform Spirit, and Adaptation with AI-Driven Social Systems https://
bit.ly/45gnsy2 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Blueprint for Using AI in Psychotherapy
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A Blueprint for Using AI in Psychotherapy
#AI #AIio #BigData #ML #NLU #Futureofwork @CRudinschi @AntonioSelas @alexjc @RobotLaunch @karpathy @andyjankowski @bobgourley @CadeMetz http://
ow.ly/HowQ30swABw -
ML Learning from Non-Human-Generated Data and Self-Evaluation
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This is more correctly viewed as ML learning from non-human-generated data, though, rather than learning from a literal absence of data. Even when you can learn by thinking, you still need to think and learn from those thoughts as data; self-evaluating AI systems do the same.
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Self-play and reinforcement learning in current AI systems
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With current AIs, you do need to set that up to happen and it's not on by default. That said, "self-play" is how AlphaGo, Alpha Zero, etc. learned to play Go; more generally the entire field of "reinforcement learning" is this.
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Algorithmic Bias in Financial Decision-Making Systems
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A partial description from the #SXSW pitch: "Predictive, data-driven algorithms are increasingly used to make life-changing decisions—including who gets access to financial services. But are algorithms the unbiased actors we’re led to believe?" #SXSW2024
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Obsessing Over Details: A Machine Learning Virtue
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Obsessing over the details is a great virtue in ML.
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Fine-tuning SDXL: Customize Stable Diffusion XL Models
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https://
replicate.com/blog/fine-tune
-sdxl
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