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08/22/2023
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning
Class-Incremental Learning (CIL) aims to build classification models fro...
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11/23/2022
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
Exemplar-free class-incremental learning is very challenging due to the ...
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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
Minority Class Oriented Active Learning for Imbalanced Datasets
Active learning aims to optimize the dataset annotation process when res...
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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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01/18/2022
Optimizing Active Learning for Low Annotation Budgets
When we can not assume a large amount of annotated data , active learnin...
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10/16/2021
Face Verification with Challenging Imposters and Diversified Demographics
Face verification aims to distinguish between genuine and imposter pairs...
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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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12/24/2020
Unveiling Real-Life Effects of Online Photo Sharing
Social networks give free access to their services in exchange for the r...
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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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08/06/2020
Webly Supervised Semantic Embeddings for Large Scale Zero-Shot Learning
Zero-shot learning (ZSL) makes object recognition in images possible in ...
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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
DeeSIL: Deep-Shallow Incremental Learning
Incremental Learning (IL) is an interesting AI problem when the algorith...
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12/15/2015
On Deep Representation Learning from Noisy Web Images
The keep-growing content of Web images may be the next important data so...
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12/07/2015
