Entropy-based Sampling for Streaming learning with Move-to-Data approach on Video

Author:

Ayyar Meghna P1ORCID,Benois-Pineau Jenny1ORCID,Zemmari Akka2ORCID,Amieva Helene3ORCID,Middleton Laura4ORCID

Affiliation:

1. University of Bordeaux/LaBRI, FR

2. Univ. Bordeaux, FR

3. Inserm BPH, Université de Bordeaux, FR

4. University of Waterloo, CA

Publisher

ACM

Reference25 articles.

1. Wickliffe  C Abraham and Anthony Robins . 2005. Memory retention–the synaptic stability versus plasticity dilemma. Trends in neurosciences 28, 2 ( 2005 ), 73–78. Wickliffe C Abraham and Anthony Robins. 2005. Memory retention–the synaptic stability versus plasticity dilemma. Trends in neurosciences 28, 2 (2005), 73–78.

2. Umang Aggarwal . 2022. Active and Incremental Deep learning with class imbalanced data. (Apprentissage profond actif et incrémental avec des données de classes déséquilibrées). Ph. D. Dissertation . University of Paris-Saclay , France. https://tel.archives-ouvertes.fr/tel-0370 1927 Umang Aggarwal. 2022. Active and Incremental Deep learning with class imbalanced data. (Apprentissage profond actif et incrémental avec des données de classes déséquilibrées). Ph. D. Dissertation. University of Paris-Saclay, France. https://tel.archives-ouvertes.fr/tel-03701927

3. Memory Aware Synapses: Learning What (not) to Forget

4. MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning

5. Pham Thanh Dat , Anuvabh Dutt , Denis Pellerin , and Georges Quénot . 2019. Classifier Training from a Generative Model . In CBMI. IEEE , 1–6. Pham Thanh Dat, Anuvabh Dutt, Denis Pellerin, and Georges Quénot. 2019. Classifier Training from a Generative Model. In CBMI. IEEE, 1–6.

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