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  1. Book ; Online: Overcoming Generic Knowledge Loss with Selective Parameter Update

    Zhang, Wenxuan / Janson, Paul / Aljundi, Rahaf / Elhoseiny, Mohamed

    2023  

    Abstract: Foundation models encompass an extensive knowledge base and offer remarkable transferability. However, this knowledge becomes outdated or insufficient over time. The challenge lies in continuously updating foundation models to accommodate novel ... ...

    Abstract Foundation models encompass an extensive knowledge base and offer remarkable transferability. However, this knowledge becomes outdated or insufficient over time. The challenge lies in continuously updating foundation models to accommodate novel information while retaining their original capabilities. Leveraging the fact that foundation models have initial knowledge on various tasks and domains, we propose a novel approach that, instead of updating all parameters equally, localizes the updates to a sparse set of parameters relevant to the task being learned. We strike a balance between efficiency and new task performance, while maintaining the transferability and generalizability of foundation models. We extensively evaluate our method on foundational vision-language models with a diverse spectrum of continual learning tasks. Our method achieves improvements on the accuracy of the newly learned tasks up to 7% while preserving the pretraining knowledge with a negligible decrease of 0.9% on a representative control set accuracy.
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 004
    Publishing date 2023-08-23
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article: Ring removal.

    Janson, Paul

    The Journal of emergency medicine

    2014  Volume 47, Issue 1, Page(s) 83–84

    MeSH term(s) Child, Preschool ; Edema/etiology ; Emergency Medicine/instrumentation ; Emergency Medicine/methods ; Female ; Fingers ; Humans ; Jewelry/adverse effects ; Nerve Block ; Steel
    Chemical Substances Steel (12597-69-2)
    Language English
    Publishing date 2014-07
    Publishing country United States
    Document type Case Reports ; Letter
    ZDB-ID 605559-x
    ISSN 0736-4679
    ISSN 0736-4679
    DOI 10.1016/j.jemermed.2013.08.128
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning

    Janson, Paul / Zhang, Wenxuan / Aljundi, Rahaf / Elhoseiny, Mohamed

    2022  

    Abstract: With the success of pretraining techniques in representation learning, a number of continual learning methods based on pretrained models have been proposed. Some of these methods design continual learning mechanisms on the pre-trained representations and ...

    Abstract With the success of pretraining techniques in representation learning, a number of continual learning methods based on pretrained models have been proposed. Some of these methods design continual learning mechanisms on the pre-trained representations and only allow minimum updates or even no updates of the backbone models during the training of continual learning. In this paper, we question whether the complexity of these models is needed to achieve good performance by comparing them to a simple baseline that we designed. We argue that the pretrained feature extractor itself can be strong enough to achieve a competitive or even better continual learning performance on Split-CIFAR100 and CoRe 50 benchmarks. To validate this, we conduct a very simple baseline that 1) use the frozen pretrained model to extract image features for every class encountered during the continual learning stage and compute their corresponding mean features on training data, and 2) predict the class of the input based on the nearest neighbor distance between test samples and mean features of the classes; i.e., Nearest Mean Classifier (NMC). This baseline is single-headed, exemplar-free, and can be task-free (by updating the means continually). This baseline achieved 88.53% on 10-Split-CIFAR-100, surpassing most state-of-the-art continual learning methods that are all initialized using the same pretrained transformer model. We hope our baseline may encourage future progress in designing learning systems that can continually add quality to the learning representations even if they started from some pretrained weights.

    Comment: 6 pages, Workshop on Distribution Shifts 2022 , Code available at https://github.com/Pauljanson002/pretrained-cl.git
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning
    Subject code 006
    Publishing date 2022-10-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: The Procrustean Bed: The Danger in the Proliferation of Protocols.

    Janson, Paul / Vavra, April

    The Journal of emergency medicine

    2017  Volume 52, Issue 2, Page(s) e53–e54

    MeSH term(s) Conflict of Interest/economics ; Greek World/history ; Guidelines as Topic/standards ; History, Ancient ; Humans ; Sepsis/therapy
    Language English
    Publishing date 2017
    Publishing country United States
    Document type Historical Article ; Letter
    ZDB-ID 605559-x
    ISSN 0736-4679
    ISSN 0736-4679
    DOI 10.1016/j.jemermed.2016.01.036
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: Domain-Aware Continual Zero-Shot Learning

    Yi, Kai / Janson, Paul / Zhang, Wenxuan / Elhoseiny, Mohamed

    2021  

    Abstract: Continual zero-shot learning involves learning seen classes incrementally while improving the ability to recognize unseen or yet-to-be-seen classes. It has a broad range of potential applications in real-world vision tasks, such as accelerating species ... ...

    Abstract Continual zero-shot learning involves learning seen classes incrementally while improving the ability to recognize unseen or yet-to-be-seen classes. It has a broad range of potential applications in real-world vision tasks, such as accelerating species discovery. However, in these scenarios, the changes in environmental conditions cause shifts in the presentation of captured images, which we refer to as domain shift, and adds complexity to the tasks. In this paper, we introduce Domain Aware Continual Zero-Shot Learning (DACZSL), a task that involves visually recognizing images of unseen categories in unseen domains continually. To address the challenges of DACZSL, we propose a Domain-Invariant Network (DIN). We empoly a dual network structure to learn factorized features to alleviate forgetting, where consists of a global shared net for domian-invirant and task-invariant features, and per-task private nets for task-specific features. Furthermore, we introduce a class-wise learnable prompt to obtain better class-level text representation, which enables zero-shot prediction of future unseen classes. To evaluate DACZSL, we introduce two benchmarks: DomainNet-CZSL and iWildCam-CZSL. Our results show that DIN significantly outperforms existing baselines and achieves a new state-of-the-art.
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning
    Subject code 006 ; 004
    Publishing date 2021-12-24
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: La place de Paul Janson dans la vie politique belge de 1877 à 1884

    Vercauteren, Pierre / Janson, Paul

    Res publica : revue de l'Institut Belge de Science Politique Vol. 11, No. 2 , p. 383-404

    1969  Volume 11, Issue 2, Page(s) 383–404

    Author's details Pierre Vercauteren
    Keywords Persönlichkeiten Politik ; Belgien
    Publisher Acco
    Publishing place Leuven
    Document type Article
    ZDB-ID 429456-7
    Database ECONomics Information System

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