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09/11/2023
Class-Incremental Grouping Network for Continual Audio-Visual Learning
Continual learning is a challenging problem in which models need to be t...
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08/31/2023
Learning to Represent Patches
Patch representation is crucial in automating various software engineeri...
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08/21/2023
Audio-Visual Class-Incremental Learning
In this paper, we introduce audio-visual class-incremental learning, a c...
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07/30/2023
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning
Transformer-based models have revolutionized the performance of a wide r...
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06/13/2022
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning
Representation learning of source code is essential for applying machine...
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07/28/2021
Checking Patch Behaviour against Test Specification
Towards predicting patch correctness in APR, we propose a simple, but no...
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06/07/2020
Spatial-Temporal Dynamic Graph Attention Networks for Ride-hailing Demand Prediction
Ride-hailing demand prediction is an important prediction task in traffi...
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06/07/2020
