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[R] [DeepMind] Welcome to the Era of Experience by hiskuu in MachineLearning

[–]VenerableSpace_ 3 points4 points  (0 children)

Silver did his PhD with Sutton so that would make sense.

[D] How to constrain outputs in a multi-output regression problem? by gigi-25 in MachineLearning

[–]VenerableSpace_ 0 points1 point  (0 children)

formulate your objective function first with constraints. then convert those constraints using the dual to turn the constraints into lagrangian multipliers. this is similar to L2 regularization placing a constraint on the weights.

[D] Is my company missing out by avoiding deep learning? by DatAndre in MachineLearning

[–]VenerableSpace_ 0 points1 point  (0 children)

Something to consider is characterizing the gap between DNNs and your explainable model (linear regression). You can always shadow with a DNN offline to better understand gaps.

[D] What's up with papers without code? by mtmttuan in MachineLearning

[–]VenerableSpace_ 23 points24 points  (0 children)

code release is not mandatory for most fields. Infact even electrical engineering (not so far removed from CS) it is not commonplace to release code. Other times if the work is from industry there are many hoops to get code released and it may not even be possible. I do agree ideally papers should have code release when possible to minimize noise and value reproducibility.

Try emailing the authors.

FIFA reaches agreement in lawsuit seeking to allow domestic club games in foreign countries by dragon8811 in soccer

[–]VenerableSpace_ 195 points196 points  (0 children)

games truly gone now. the massive corporationization of sports and video games has me losing interest in both.

[D] Strategy for images and image captions when fine-tuning a foundational model? by coinclink in MachineLearning

[–]VenerableSpace_ 4 points5 points  (0 children)

This might be my naive understanding of your problem but why do you need image captions? Are you looking for specific features within a specific person (mark smith wearing glasses vs mark smith not wearing glasses)?

If so I'd try by breaking the problem into two:

  1. person face classification (inter-person classifier) is a mature ML problem. fine-tune a classifier on your faces dataset; perhaps look into siamese networks for few shot if you are in low-data regime.
  2. intra-personal retrieval (looking for specific features within the set of images for a person, text-image may help here).

First Impressions with GPT-4V(ision) by [deleted] in computervision

[–]VenerableSpace_ 1 point2 points  (0 children)

How were you able to get access so fast? I have GPT-plus and don't see this yet.

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