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07/26/2023
Regularizing Neural Networks with Meta-Learning Generative Models
This paper investigates methods for improving generative data augmentati...
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03/14/2023
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers
Regularized discrete optimal transport (OT) is a powerful tool to measur...
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06/20/2022
Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space
Many neural network-based out-of-distribution (OoD) detection methods ha...
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05/31/2022
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks
Few-shot learning for neural networks (NNs) is an important problem that...
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04/28/2022
Covariance-aware Feature Alignment with Pre-computed Source Statistics for Test-time Adaptation
The accuracy of deep neural networks is degraded when the distribution o...
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04/27/2022
Transfer Learning with Pre-trained Conditional Generative Models
Transfer learning is crucial in training deep neural networks on new tar...
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11/05/2021
Recurrent Neural Networks for Learning Long-term Temporal Dependencies with Reanalysis of Time Scale Representation
Recurrent neural networks with a gating mechanism such as an LSTM or GRU...
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07/02/2021
Few-shot Learning for Unsupervised Feature Selection
We propose a few-shot learning method for unsupervised feature selection...
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07/02/2021
Meta-Learning for Relative Density-Ratio Estimation
The ratio of two probability densities, called a density-ratio, is a vit...
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03/01/2021
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection
Neural network-based anomaly detection methods have shown to achieve hig...
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02/05/2021
Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression
Adversarial training is actively studied for learning robust models agai...
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09/30/2020
Few-shot Learning for Time-series Forecasting
Time-series forecasting is important for many applications. Forecasting ...
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02/27/2020
Semi-supervised Anomaly Detection on Attributed Graphs
We propose a simple yet effective method for detecting anomalous instanc...
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07/09/2018
