Learning to identify new objects reshapes parts of the brain, research finds

The wiring and rewiring of the brain never ends. Neural pathways are constantly being reshaped as we interact with the world ...
IEEE

Cross-Dataset Representation Learning for Unsupervised Deep Clustering in Human Activity Recognition

Abstract: This study introduces a novel representation learning method to enhance unsupervised deep clustering in Human Activity Recognition (HAR). Traditional unsupervised deep clustering methods ...
The New York Times

How the Voting Rights Act Bolstered Black Representation in the House

Katherine Chui, a graphics reporter, analyzed two centuries of census and congressional data. Emily Cochrane is based in Nashville and covers the American South. April 30, 2026 The central tenet of ...
www.cs.cmu.edu

Fall 2024, CMU 10741

Office Hours: The office hours of the instructor, and TAs, will be posted on Piazza. Representation Learning is a course that will cover both the theory and practice of representation learning. Till a ...
C&EN

Transfer-Learning Deep Raman Models Using Semiempirical Quantum Chemistry

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Biophotonic technologies such as Raman spectroscopy are powerful tools for obtaining ...
IEEE

Unsupervised Representation Learning in Deep Reinforcement Learning: A Review

Abstract: This review article addresses the problem of learning abstract representations of measurement data in the context of deep reinforcement learning. While the data are often ambiguous, ...
Frontiers

Recovering manifold representations via unsupervised meta-learning

Manifold representation learning holds great promise for theoretical understanding and characterization of deep neural networks' behaviors through the lens of geometries. However, data scarcity ...