Logistic Regression

7 Posts

Illustration of a laughing robot
Logistic Regression

Toward Machines That LOL: Scientists Teach a Speech Recognition Robot to Laugh

Even if we manage to stop robots from taking over the world, they may still have the last laugh. Researchers at Kyoto University developed a series of neural networks that enable a robot engaged in spoken conversation to chortle along with its human interlocutor.
The framework of Virtual Outlier Synthesis (VOS)
Logistic Regression

Right-Sizing Confidence: Object Detector Lowers Confidence for Unfamiliar Inputs

An object detector trained exclusively on urban images might mistake a moose for a pedestrian and express high confidence in its poor judgment. New work enables object detectors, and potentially other neural networks, to lower their confidence when they encounter unfamiliar inputs.
One person pouring a drink of poison in the company of another person
Logistic Regression

Logistic Regression: Follow the Curve — A Basic Introduction to Logistic Regression for Machine Learning

There was a moment when logistic regression was used to classify just one thing: If you drink a vial of poison, are you likely to be labeled “living” or “deceased”? Times have changed.
Graphs with data related to AI use cases
Logistic Regression

Washington Wrestles with AI

The U.S. government’s effort to take advantage of AI has not lived up to its promise, according to a new report. Implementations of machine learning systems by federal agencies are “uneven at best, and problematic and perhaps dangerous at worst".
Series of images with graphs and data related to optimization algorithms
Logistic Regression

When Optimization is Suboptimal

Bias arises in machine learning when we fit an overly simple function to a more complex problem. A theoretical study shows that gradient descent itself may introduce such bias and render algorithms unable to fit data properly.
Data related to few-shot learning
Logistic Regression

Small Data the Simple Way

Few-shot learning seeks to build models that adapt to novel tasks based on small numbers of training examples. This sort of learning typically involves complicated techniques, but researchers achieved state-of-the-art results using a simpler approach.
Graph related to a machine learning model that reads the titles of bug reports
Logistic Regression

Bug Squasher: A TF-IDF NLP Technique for Finding Bugs in Code

A new algorithm can triage programming bugs, highlighting dangerous flaws. Microsoft researchers developed a machine learning model that reads the titles of bug reports and recognizes those describing flaws that compromise security.

Subscribe to The Batch

Stay updated with weekly AI News and Insights delivered to your inbox