Even today’s best #deeplearning vision systems can fail when pose/lighting/background vary. Existing benchmarks show challenging examples but don’t explain why. ImageNetX includes annotations for the entire ImageNet1k validation set + a random subset of 12k training images.
MACHINE LEARNING
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CS-2 System Achieves Fast SARS-CoV-2 Genome Training Convergence
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At a Gordon Bell Prize finalist talk, Kyle Hippe of @argonne said “The CS-2 system allows for really fast time to solution. We were able to train from scratch on the SARS-CoV-2 genomes and reach convergence in less than a day." Read the @HPCwire article:
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PhD Position in Machine Learning and PDEs Now Open
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For those still on Twitter , this is a nice opportunity to work on ML + PDEs https://
vacatures.uva.nl/UvA/job/PhD-Po
sition-in-Learning-PDEs-from-Data/759044402/
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Making Machine Learning Research More Accessible and Discoverable
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Making machine learning research a more accessible, discoverable, and a little more fun
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MIT Brain Dynamics Advances Flexible Machine Learning Models
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MIT: Solving brain dynamics gives rise to flexible #machinelearning models https://
news.mit.edu/2022/solving-b
rain-dynamics-gives-rise-flexible-machine-learning-models-1115
… @pierrepinna @sallyeaves @PawlowskiMario @Xbond49 @gvalan @SpirosMargaris @JimMarous @HaroldSinnott @mikeflache @Shi4Tech @TheRudinGroup @ahier #AI #DeepLearning #Fintech #5G -
Liquid Networks: Recurrent Neural Nets with Adaptive Learning
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Liquid networks are a class of recurrent neural nets that learn from data to stay adaptable even after training. They have special internal mechanisms that allow them to do so. I gave a talk about them here which might help understand them better: https://
youtu.be/IlliqYiRhMU -
Human-in-the-Loop Approach to Machine Learning Systems
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One way of putting the human back in the loop. // @SnorkelAI // #ArtificialIntelligence #MachineLearning #deeplearning
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McLaren Uses DataRobot AI to Analyze Racing Performance Data
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🏁 @McLarenF1 turned to DataRobot to analyze racing data and unlock actionable insights in an environment where one-tenth of a second can be the difference.#F1 #BahrainGPhttps://t.co/0BMyveNfsO pic.twitter.com/46rCXv0Vb1
— DataRobot (@DataRobot) 17 novembre 2022@McLarenF1 turned to DataRobot to analyze racing data and unlock actionable insights in an environment where one-tenth of a second can be the difference. #F1 #BahrainGP https://
datarobot.com/customers/mcla
ren/
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Fast Text-Conditional Discrete Denoising Vector-Quantized Latent
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Fast Text-Conditional Discrete Denoising on Vector-Quantized Latent Spaces Rampas et al.: https://
arxiv.org/abs/2211.07292 #ArtificialIntelligence #DeepLearning #MachineLearning -
Streamline Data Integration, Governance, and Virtualization on AWS
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Learn step-by-step how to streamline data integration, data governance, and data virtualization on @awscloud
: https://
ibm.co/3g5tvli
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#IBMDeveloper #machinelearning #AI