Abstract: Inductive learning methods allow the system designer to infer a model of the relevant phenomena of an unknown process by extracting information from experimental data. A wide range of ...
How does the human brain learn to see so quickly—and what can that teach us about building smarter AI? This question is at the heart of Mastering Vision: How Inductive Biases Shape Mammalian Learning ...
As Harvard Business School Online (HBS Online) marks a decade of growth and success, it is a moment of reflection and forward-thinking for the entire team. Since its launch in 2014, HBS Online has ...
Machine learning research aims to learn representations that enable effective downstream task performance. A growing subfield seeks to interpret these representations’ roles in model behaviors or ...
Excerpted from What Teachers Need to Know About Memory by Jonathan Firth and Nasima Riazat. Copyright (c) 2024 by Corwin Press, Inc. All rights reserved. Some of the ...
Graph Transformers (GTs) have successfully achieved state-of-the-art performance on various platforms. GTs can capture long-range information from nodes that are at large distances, unlike the local ...
Few-shot classification involves training a model to perform a new classification task with a handful of labeled data. This paper is available on arxiv under CC 4.0 license. Numerous studies have ...
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