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Machine Learning for Plant Identification
Delves into challenges of supervised learning in citizen science, focusing on plant species recognition and label aggregation.
Brain Intelligence: Continual Learning of Representational Models
Delves into the continual learning of representational models after deployment, highlighting the limitations of current artificial neural networks.
Shoot'Em Up: Evolution and Immersion
Delves into the evolution and immersive aspects of Shoot'Em Up games.
Hopfield Model: Memory and Dynamics
Explores the Hopfield Model for associative memory and its dynamics.
Introduction to Chapter 3
Covers the transition to practical programming tasks using graphical languages.
Student Evaluation of Teaching: Importance and Strategies
Explores the importance of student feedback on teaching and strategies for effective evaluations.
Collaboration in Education: The LEARN Center's Approach
Outlines the LEARN Center's collaborative approach to enhancing education through research and innovative practices.
Spatial Configuration and Teaching
Explores the impact of spatial configuration on teaching interactions in classrooms, analyzing seating arrangements and teacher movements.
Learning Physically-Consistent Gaussian Mixture Model
Explores Physically-Consistent Gaussian Mixture Models for robot control and trajectory learning.
Self-Supervised Learning: State of the Art
Explores self-supervised learning, transfer learning, SSL prediction tasks, feature learning, image rotations, contrastive learning, and vision learners.