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07/29/2023
Fast Searching The Densest Subgraph And Decomposition With Local Optimality
Densest Subgraph Problem (DSP) is an important primitive problem with a ...
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05/10/2023
Towards Better Graph Representation Learning with Parameterized Decomposition Filtering
Proposing an effective and flexible matrix to represent a graph is a fun...
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02/23/2023
Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market
The emerging availability of trained machine learning models has put for...
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11/29/2022
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation
How do we know when the predictions made by a classifier can be trusted?...
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08/10/2021
AdaRNN: Adaptive Learning and Forecasting of Time Series
Time series has wide applications in the real world and is known to be d...
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07/17/2020
Learning to Match Distributions for Domain Adaptation
When the training and test data are from different distributions, domain...
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09/17/2019
Transfer Learning with Dynamic Distribution Adaptation
Transfer learning aims to learn robust classifiers for the target domain...
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07/19/2018
Visual Domain Adaptation with Manifold Embedded Distribution Alignment
Visual domain adaptation aims to learn robust classifiers for the target...
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07/02/2018
