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05/23/2023
Mitigating Label Noise through Data Ambiguation
Label noise poses an important challenge in machine learning, especially...
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04/30/2023
Detecting Novelties with Empty Classes
For open world applications, deep neural networks (DNNs) need to be awar...
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06/11/2022
Memorization-Dilation: Modeling Neural Collapse Under Noise
The notion of neural collapse refers to several emergent phenomena that ...
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05/30/2022
Conformal Credal Self-Supervised Learning
In semi-supervised learning, the paradigm of self-training refers to the...
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05/13/2022
Kronecker Decomposition for Knowledge Graph Embeddings
Knowledge graph embedding research has mainly focused on learning contin...
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06/22/2021
Credal Self-Supervised Learning
Self-training is an effective approach to semi-supervised learning. The ...
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10/25/2020