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06/05/2023
Nonparametric Iterative Machine Teaching
In this paper, we consider the problem of Iterative Machine Teaching (IM...
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02/28/2023
Policy Dispersion in Non-Markovian Environment
Markov Decision Process (MDP) presents a mathematical framework to formu...
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12/13/2022
One-shot Machine Teaching: Cost Very Few Examples to Converge Faster
Artificial intelligence is to teach machines to take actions like humans...
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07/29/2022
A Survey of Learning on Small Data
Learning on big data brings success for artificial intelligence (AI), bu...
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06/30/2022
When an Active Learner Meets a Black-box Teacher
Active learning maximizes the hypothesis updates to find those desired u...
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06/30/2022
Data-Efficient Learning via Minimizing Hyperspherical Energy
Deep learning on large-scale data is dominant nowadays. The unprecedente...
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03/16/2022
Hyperbolic Uncertainty Aware Semantic Segmentation
Semantic segmentation (SS) aims to classify each pixel into one of the p...
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05/06/2021
Bayesian Active Learning by Disagreements: A Geometric Perspective
We present geometric Bayesian active learning by disagreements (GBALD), ...
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05/20/2019
Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation
As a kind of semantic representation of visual object descriptions, attr...
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02/25/2019
Edge Federation: Towards an Integrated Service Provisioning Model
Edge computing is a promising computing paradigm for pushing the cloud s...
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09/28/2018
Target-Independent Active Learning via Distribution-Splitting
To reduce the label complexity in Agnostic Active Learning (A^2 algorith...
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07/24/2018
A Structured Perspective of Volumes on Active Learning
Active Learning (AL) is a learning task that requires learners interacti...
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05/31/2018