List: General AI | Curated by Aleksander Molak

Aleksander Molak

Jan 5, 2023

9 stories

General AI

This story is no longer available

TDS Archive

Samuele Mazzanti

What Is Better: One General Model or Many Specialized Models?

Comparing the effectiveness of training several ML models specialized on different groups, versus training one unique model for all the…

Dec 30, 2022

680

What Is Better: One General Model or Many Specialized Models?

Dec 30, 2022

680

TDS Archive

Piero Paialunga

Hands-on Generative Adversarial Networks (GAN) for Signal Processing, with Python

Here’s how to build a generative Deep Learning model for Signal Processing in a few lines of code

Dec 27, 2022

562

Hands-on Generative Adversarial Networks (GAN) for Signal Processing, with Python

Dec 27, 2022

562

TDS Archive

Christian Leschinski

Are you interpreting your logistic regression correctly?

Why regression coefficients alone do not tell you what you need to know to understand your model

Jul 5, 2022

248

Graph with lines representing the marginal effect of feature one depending on the value of the feature itself.

Jul 5, 2022

248

SyncedReview

Synced

NeurIPS 2022 | Meta AI, Stanford & Tübingen U Beat Neural Scaling Laws via Data Pruning

Studies on various machine learning models have shown that applying neural scaling laws — increasing compute, model size, and pretraining…

Nov 29, 2022

NeurIPS 2022 | Meta AI, Stanford & Tübingen U Beat Neural Scaling Laws via Data Pruning

Nov 29, 2022

TDS Archive

Eduardo Blancas

Can I Trust My Model’s Probabilities? A Deep Dive into Probability Calibration

A practical guide on probability calibration

Nov 10, 2022

256

Can I Trust My Model’s Probabilities? A Deep Dive into Probability Calibration

Nov 10, 2022

256

Geek Culture

Microprediction

Optimizing a Portfolio of Models

In this colab notebook I provide an example of the use of the precise Python package (and PyPortfolioOpt) to create a diversified portfolio…

Feb 16, 2022

104

Feb 16, 2022

104

TDS Archive

Anna Arakelyan

Hidden Data Science Gem: Rainbow Method for Label Encoding

Make stronger and simpler models by leveraging natural order

Oct 29, 2022

390

Oct 29, 2022

390

Sergey Levine

An Ecological Perspective on Reinforcement Learning

It has nothing to do with rainforests, at least not necessarily. J. J. Gibson’s seminal work “The Ecological Approach to Visual Perception”…

Dec 15, 2021

119

Dec 15, 2021

119

Responses

General AI

What Is Better: One General Model or Many Specialized Models?

Comparing the effectiveness of training several ML models specialized on different groups, versus training one unique model for all the…

Hands-on Generative Adversarial Networks (GAN) for Signal Processing, with Python

Here’s how to build a generative Deep Learning model for Signal Processing in a few lines of code

Are you interpreting your logistic regression correctly?

Why regression coefficients alone do not tell you what you need to know to understand your model

NeurIPS 2022 | Meta AI, Stanford & Tübingen U Beat Neural Scaling Laws via Data Pruning

Studies on various machine learning models have shown that applying neural scaling laws — increasing compute, model size, and pretraining…

Can I Trust My Model’s Probabilities? A Deep Dive into Probability Calibration

A practical guide on probability calibration

Optimizing a Portfolio of Models

In this colab notebook I provide an example of the use of the precise Python package (and PyPortfolioOpt) to create a diversified portfolio…

Hidden Data Science Gem: Rainbow Method for Label Encoding

Make stronger and simpler models by leveraging natural order

An Ecological Perspective on Reinforcement Learning

It has nothing to do with rainforests, at least not necessarily. J. J. Gibson’s seminal work “The Ecological Approach to Visual Perception”…

Aleksander Molak

NLP

Optimization

Causality