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04/21/2023
Noise-Reuse in Online Evolution Strategies
Online evolution strategies have become an attractive alternative to aut...
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02/23/2021
Lessons from Chasing Few-Shot Learning Benchmarks: Rethinking the Evaluation of Meta-Learning Methods
In this work we introduce a simple baseline for meta-learning. Our uncon...
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02/17/2021
Label Leakage and Protection in Two-party Split Learning
In vertical federated learning, two-party split learning has become an i...
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11/28/2020
Is Support Set Diversity Necessary for Meta-Learning?
Meta-learning is a popular framework for learning with limited data in w...
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06/25/2019
Interpretable Image Recognition with Hierarchical Prototypes
Vision models are interpretable when they classify objects on the basis ...
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06/27/2018
This looks like that: deep learning for interpretable image recognition
When we are faced with challenging image classification tasks, we often ...
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10/13/2017
