Results 11 to 20 of about 22,440 (261)
Dynamic nested hierarchies: self-evolving machine learning architectures for lifelong learning [PDF]
Frontiers in Artificial IntelligenceContemporary machine learning models, including large language models, exhibit remarkable capabilities in static tasks yet falter in non-stationary environments due to rigid architectures that hinder continual adaptation and lifelong learning.
Akbar Anbar Jafari +3 more
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dioscRi enables transferable prediction of clinical outcomes in multi-parameter cytometry data [PDF]
Nature CommunicationsMulti-parameter cytometry technologies enable high-dimensional analysis of immune cell populations at single-cell resolution. Deep learning has been widely applied to these datasets, but existing methods often struggle with transferability across ...
Elijah Willie +6 more
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Learning in Humans versus Hierarchies [PDF]
The Permanente Journal, 2020 Organizations worldwide as well as scholars in business, psychology, medicine, and the social sciences are racing to identify the rules that drive organizational innovation vs status quo, the rules that drive employee engagement vs oppression, and the rules that drive effective leadership vs micromanagement.
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5. Multidisciplinary Collaboration Through Learning Communities: Navigating Anxiety
Collected Essays on Learning and Teaching, 2012 A problem common to university faculty and students is an implicit sense of inadequacy regarding institutional hierarchies and disciplinary boundaries.
Erin DeLathouwer +3 more
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Invariance Learning Based on Label Hierarchy
Advances in Neural Information Processing Systems 35, 2022 30 pages, submitted for a ...
Shoji Toyota, Kenji Fukumizu
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A Bayesian Generative Model for Learning Semantic Hierarchies
Frontiers in Psychology, 2014 Building fine-grained visual recognition systems that are capable of recognizing tens of thousands of categories, has received much attention in recent years.
Roni eMittelman +3 more
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Entangled parametric hierarchies: problems for an overspecified universal grammar. [PDF]
PLoS ONE, 2013 This study addresses the feasibility of the classical notion of parameter in linguistic theory from the perspective of parametric hierarchies. A novel program-based analysis is implemented in order to show certain empirical problems related to these ...
Cedric Boeckx, Evelina Leivada
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Tree Structured Dirichlet Processes for Hierarchical Morphological Segmentation [PDF]
Computational Linguistics, 2018 This article presents a probabilistic hierarchical clustering model for morphological segmentation. In contrast to existing approaches to morphology learning, our method allows learning hierarchical organization of word morphology as a collection of tree
Burcu Can, Suresh Manandhar
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Active Learning for Auditory Hierarchy
, 2020 Much audio content today is rendered as a static stereo mix: fundamentally a fixed single entity. Object-based audio envisages the delivery of sound content using a collection of individual sound ‘objects’ controlled by accompanying metadata. This offers potential for audio to be delivered in a dynamic manner providing enhanced audio for consumers. One
William Coleman +3 more
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Meta Learning Shared Hierarchies
CoRR, 2017 We develop a metalearning approach for learning hierarchically structured policies, improving sample efficiency on unseen tasks through the use of shared primitives---policies that are executed for large numbers of timesteps. Specifically, a set of primitives are shared within a distribution of tasks, and are switched between by task-specific policies.
Kevin Frans +4 more
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