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06/21/2023
Towards Mitigating Spurious Correlations in the Wild: A Benchmark a more Realistic Dataset
Deep neural networks often exploit non-predictive features that are spur...
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05/30/2023
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias
Neural networks trained with (stochastic) gradient descent have an induc...
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05/23/2023
Eliminating Spurious Correlations from Pre-trained Models via Data Mixing
Machine learning models pre-trained on large datasets have achieved rema...
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10/06/2022
A correlated pseudo-marginal approach to doubly intractable problems
Doubly intractable models are encountered in a number of fields, e.g. so...
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09/22/2022
Neural Networks Base on Power Method and Inverse Power Method for Solving Linear Eigenvalue Problems
In this article, we propose three kinds of neural networks inspired by p...
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07/15/2022
Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification
Deep learning-based melanoma classification with dermoscopic images has ...
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01/03/2022
Continuous Submodular Maximization: Boosting via Non-oblivious Function
In this paper, we revisit the constrained and stochastic continuous subm...
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12/20/2021
Comprehensive Performance Evaluation of LID Practices for the Sponge City Construction: A Case Study in Guangxi, China
Sponge city construction is a new concept of urban stormwater management...
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07/13/2021
Learnability of Learning Performance and Its Application to Data Valuation
For most machine learning (ML) tasks, evaluating learning performance on...
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06/30/2021
CityNet: A Multi-city Multi-modal Dataset for Smart City Applications
Data-driven approaches have been applied to many problems in urban compu...
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04/01/2021
Unsupervised Foreground-Background Segmentation with Equivariant Layered GANs
We propose an unsupervised foreground-background segmentation method via...
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02/25/2021
Bias-reduced multi-step hindsight experience replay
Multi-goal reinforcement learning is widely used in planning and robot m...
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12/06/2018
VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration
Understanding and predicting real-time vehicle mobility patterns on high...
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04/26/2018
