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05/25/2023
Meta Adaptive Task Sampling for Few-Domain Generalization
To ensure the out-of-distribution (OOD) generalization performance, trad...
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02/22/2022
A Framework for Multi-stage Bonus Allocation in meal delivery Platform
Online meal delivery is undergoing explosive growth, as this service is ...
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07/13/2021
Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization
Domain generalization (DG) aims to help models trained on a set of sourc...
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06/30/2021
Distributionally Robust Learning with Stable Adversarial Training
Machine learning algorithms with empirical risk minimization are vulnera...
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04/16/2021
Deep Stable Learning for Out-Of-Distribution Generalization
Approaches based on deep neural networks have achieved striking performa...
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08/27/2020
Adversarial Eigen Attack on Black-Box Models
Black-box adversarial attack has attracted a lot of research interests f...
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06/18/2020
Algorithmic Decision Making with Conditional Fairness
Nowadays fairness issues have raised great concerns in decision-making s...
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06/08/2020
Invariant Adversarial Learning for Distributional Robustness
Machine learning algorithms with empirical risk minimization are vulnera...
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04/01/2020
Learning to Select Base Classes for Few-shot Classification
Few-shot learning has attracted intensive research attention in recent y...
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10/17/2017