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08/27/2023
Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario
Semi-Supervised Learning (SSL) leverages both labeled and unlabeled data...
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08/27/2023
Pruning the Unlabeled Data to Improve Semi-Supervised Learning
In the domain of semi-supervised learning (SSL), the conventional approa...
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06/06/2023
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget
In Active Learning (AL), a learner actively chooses which unlabeled exam...
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05/23/2022
Active Learning Through a Covering Lens
Deep active learning aims to reduce the annotation cost for deep neural ...
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02/06/2022
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Investigating active learning, we focus on the relation between the numb...
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09/13/2021
The Grammar-Learning Trajectories of Neural Language Models
The learning trajectories of linguistic phenomena provide insight into t...
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05/12/2021
Convergence Analysis of Over-parameterized Deep Linear Networks, and the Principal Components Bias
Convolutional Neural networks of different architectures seem to learn t...
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05/26/2019
All Neural Networks are Created Equal
One of the unresolved questions in the context of deep learning is the t...
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04/07/2019
