There's great communities for jr. researchers to get involved & alleviate this loneliness (eg @ml_collective @forai_ml @AiEleuther
) but may be harder for someone post-PhD, since they're supposed to be "independent." Is research community loneliness a problem? Is it fixable? 5/5
MACHINE LEARNING
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Research Community Loneliness: Building Networks Post-PhD
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Exemplar SVM: Simple but Counterintuitive in High Dimensions
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Yep exactly! 🙂 The first time I saw the Exemplar SVM idea. It's so simple but also a bit counter-intuitive, I think because low dimensional intuition fails us. A classifier with a single example? In low dimensions it sounds weird. In high dimensions it works great.
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Customizing Embeddings and Comparing Distance Metrics in AI
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Nice — curious how this compares to learning a modified distance metric as shown here: https://
github.com/openai/openai-
cookbook/blob/main/examples/Customizing_embeddings.ipynb
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SVMs Outperform k-Nearest Neighbor for Embedding Lookups
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Random note on k-Nearest Neighbor lookups on embeddings: in my experience much better results can be obtained by training SVMs instead. Not too widely known. Short example: https://
github.com/karpathy/rando
mfun/blob/master/knn_vs_svm.ipynb
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AI Impact Discussion at CIIT Latam 2023 Conference
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Insightful discussion on the current and future impact of #ArtificialIntelligence for our businesses, our people and #Leadership at #CIITLatam23 I am humbled and honored being included. Much appreciated @CiitPeru #AI #ML #Robotics #robots #innovation #tech #FutureofWork
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Tactile Diffusion: Bridging Sim2Real Gap in Tactile Sensing
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Tactile Diffusion generates synthetic tactile images from sim data, capturing the complex illumination of the gel deformation. This research from UW & Meta AI is the first method using diffusion to close the sim2real gap for vision-based tactile sensing.
— AI at Meta (@AIatMeta) 14 avril 2023
Read the paper ⬇️Tactile Diffusion generates synthetic tactile images from sim data, capturing the complex illumination of the gel deformation. This research from UW & Meta AI is the first method using diffusion to close the sim2real gap for vision-based tactile sensing. Read the paper
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Automatic Differentiation Bounds Improve ML Training Learning Rates
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A new generalization of automatic differentiation lets researchers compute upper and lower bounds on functions, instead of just derivatives, leading toward more principled learning rate selection during #ML model training. Learn more: https://
goo.gle/417iphD -
Future of AutoML: Human-in-the-Loop Automation for Complex ML Problems
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ICYMI: The future of #AutoML is human-in-the-loop automation that allows you tackle the most complex #ML problems like #deeplearning with ease, full control and visibility. Check it out our talk from @Datasciencectrl to learn more:
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NeurIPS 2019 Conference Budget Reaches Up to $10M
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Here's some info about the NeurIPS 2019 budget. But yes, it seems like up to $10M are needed to run NeurIPS. https://
neurips.cc/Conferences/20
20/Budget
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MathWorks Enhances Cobot Programming With AI and Autonomy
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MathWorks joined the @Universal_Robot ecosystem to offer AI and autonomy capabilities in cobot programming. With MATLAB and Simulink algorithms, engineers can design more intelligent and efficient cobot systems! #Robotics #Engineering #AI Learn more: http://
spr.ly/6014OzRqC