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09/11/2023
MultIOD: Rehearsal-free Multihead Incremental Object Detector
Class-Incremental learning (CIL) is the ability of artificial agents to ...
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09/14/2022
PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning
Plasticity and stability are needed in class-incremental learning in ord...
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02/01/2022
A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning
Deep learning approaches are successful in a wide range of AI problems a...
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10/16/2021
Dataset Knowledge Transfer for Class-Incremental Learning without Memory
Incremental learning enables artificial agents to learn from sequential ...
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11/03/2020
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks
The ability of artificial agents to increment their capabilities when co...
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08/31/2020
Initial Classifier Weights Replay for Memoryless Class Incremental Learning
Incremental Learning (IL) is useful when artificial systems need to deal...
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08/25/2020
Active Class Incremental Learning for Imbalanced Datasets
Incremental Learning (IL) allows AI systems to adapt to streamed data. M...
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01/16/2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning
Incremental learning is useful if an AI agent needs to integrate data fr...
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08/20/2018