Constructivist learning theory emphasizes the subjectivity, sociality ... gamification strategies in museums have also been applied to enhance the overall visitor experience and support institutional ...

It’s deeply personal yet profoundly influenced by educational theory, a blend of what you believe about learning and the frameworks that guide effective teaching. When I started working on this visual ...

What can we say about the inherent ease or difficulty of learning problems? Can we devise models that are both amenable to theoretical analysis and make sense empirically? Addressing these questions ...

This repository hosts a progressive series of implementations (Code_v1, Code_v2, and beyond) for deterministic β*-optimization in the Information Bottleneck framework. Includes symbolic fusion, ...

Abstract: Deep learning begins to be widely applied in security applications, but the vulnerability of deep learning in front of adversarial examples raises people's concern. In this paper, we study ...

After finishing this test you will receive a FREE snapshot report with a summary evaluation and graph. You will then have the option to purchase the full results for $6.95 This test is intended ...

Our training pipeline is adapted from verl and rllm(DeepScaleR). The installation commands that we verified as viable are as follows: conda create -y -n rlvr_train ...

Self-affirmation theory asserts that we are motivated to ... health and may require various approaches to feel our best. For example, if you regularly experience low motivation or low self-esteem ...

I am the Cadence Design Systems Professor of Computer Science at Carnegie Mellon University. My main research interests are in machine learning, artificial intelligence, theoretical computer science, ...