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Algorithms and systems for continual robot learning
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Learning distributed representations from network data and human navigation
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Huffman, memo, 1991-04-28, to distribution
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Facilitation of authentic teaching and learning in a problem-based learning (PBL) environment
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Transfer reinforcement learning for autonomous collision avoidance
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Improving professional learning for teachers
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Building straggler-resilient and private machine learning systems in the cloud
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Learning shared subspaces across multiple views and modalities
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Statistical learning is a two-step process
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The sport of learning: the effect of college athletes' perception of identity on approach to learning
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Learning objective functions for autonomous motion generation
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Bayesian methods for autonomous learning systems
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Labeling cost reduction techniques for deep learning: methodologies and applications
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Exploring complexity reduction in deep learning
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Machine learning in interacting multi-agent systems
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Resource scheduling in geo-distributed computing
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Distributed resource management for QoS-aware service provision
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Novel algorithms for large scale supervised and one class learning
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Rethinking perception-action loops via interactive perception and learned representations
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Learning and control in decentralized stochastic systems
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Online learning algorithms for network optimization with unknown variables
Learning multi-annotator subjective label embeddings
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Transfer learning for intelligent systems in the wild
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Learning, adaptation and control to enhance wireless network performance
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Adaptive resource management in distributed systems
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