MACHINE LEARNING

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AI and Computer Vision Transform Self-Checkout Experience

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@sallyeaves

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14 November 2022 11h10

Something Unexpected in Bagging Area? #AI #Cloud #ComputerVision Transforms Self
Checkout #CX & Reduces #waste @insightdottech @Wintec_China https://
insight.tech/retail/ai-and-
computer-vision-accelerate-self-checkout?utm_source=twitter&utm_medium=organic&utm_campaign=2022-tdc-eaves
… #Retail #IntelPartner #SupplyChain #fintech #POS #Foodie @ljbloomfield1 #AgriTech #SDGs #IoT @fpcfreshtalk

Need for Comprehensive Inductive Bias Zoo Reference

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14 November 2022 6h18

I cover the highest levels in "The Master Algorithm". Below that there are subfield-specific ones. But someone should really do a serious Inductive Bias Zoo, a la Scott Aaronson's Complexity Zoo.

Causal Theories as Inductive Bias in Machine Learning

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14 November 2022 5h05

On the contrary: it's by viewing causal theories as a type of inductive bias that ML types can become comfortable with using them. (As I said before, there's a taxonomy of inductive biases; by placing a bias in the appropriate node you don't confuse, you clarify.)

Contrived Datasets and Knowledge Transfer in Causal Analysis

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14 November 2022 5h00

That's a very contrived data set, which makes it very unpersuasive. You then have to transfer knowledge to this problem from similar ones with better data, which is what the "causal bias" is really doing.

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Guided Image Inpainting for Video Object Removal

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@learnopencv

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14 November 2022 4h29

Ever wondered how object removal can be done on a video?
Here is an interesting one on Guided Image Inpainting

Paper: https://t.co/I1SBGjzEgh
Code: https://t.co/ssHayfP8EW #learnopencv #opencv #computervision #github #artificialintelligence #deeplearning #machinelearning #ai pic.twitter.com/TWgsUFdf4L
— Satya Mallick (@LearnOpenCV) 14 novembre 2022

Ever wondered how object removal can be done on a video?
Here is an interesting one on Guided Image Inpainting Paper: https://
arxiv.org/pdf/2204.07845
.pdf
… Code: https://
github.com/runwayml/guide
d-inpainting
… #learnopencv #opencv #computervision #github #artificialintelligence #deeplearning #machinelearning #ai

Learning Causality Does Not Require Different Training and Test Domains

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14 November 2022 1h36

Surely showing you can learn (what looks like) causality does not require the training and test examples to be in different domains. That's an orthogonal issue.

Machine Learning Model for Soldier Casualty Prediction from Shot Data

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14 November 2022 1h29

Easy. The data is vectors of "shot/not shot" (one input variable per soldier) and "dead/alive" (output). Any learner that induces that num. shots > 0 => dead answers the question correctly.

Inductive Biases in Machine Learning: Beyond Curve-Fitting

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14 November 2022 0h33

1. Many inductive biases aren’t curve-fitting (e.g., ILP, causal theories).
2. You can’t learn at any level without inductive biases.
3. We also call everything that doesn’t work “inductive biases”. ML is the search for the ones that do, in any form.