289 research outputs found

    Het geheim van de uitgever

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    Language-Based Augmentation to Address Shortcut Learning in Object Goal Navigation

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    Deep Reinforcement Learning (DRL) has shown great potential in enabling robots to find certain objects (e.g., `find a fridge') in environments like homes or schools. This task is known as Object-Goal Navigation (ObjectNav). DRL methods are predominantly trained and evaluated using environment simulators. Although DRL has shown impressive results, the simulators may be biased or limited. This creates a risk of shortcut learning, i.e., learning a policy tailored to specific visual details of training environments. We aim to deepen our understanding of shortcut learning in ObjectNav, its implications and propose a solution. We design an experiment for inserting a shortcut bias in the appearance of training environments. As a proof-of-concept, we associate room types to specific wall colors (e.g., bedrooms with green walls), and observe poor generalization of a state-of-the-art (SOTA) ObjectNav method to environments where this is not the case (e.g., bedrooms with blue walls). We find that shortcut learning is the root cause: the agent learns to navigate to target objects, by simply searching for the associated wall color of the target object's room. To solve this, we propose Language-Based (L-B) augmentation. Our key insight is that we can leverage the multimodal feature space of a Vision-Language Model (VLM) to augment visual representations directly at the feature-level, requiring no changes to the simulator, and only an addition of one layer to the model. Where the SOTA ObjectNav method's success rate drops 69%, our proposal has only a drop of 23%

    Language-Based Augmentation to Address Shortcut Learning in Object Goal Navigation

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    Deep Reinforcement Learning (DRL) has shown great potential in enabling robots to find certain objects (e.g., `find a fridge') in environments like homes or schools. This task is known as Object-Goal Navigation (ObjectNav). DRL methods are predominantly trained and evaluated using environment simulators. Although DRL has shown impressive results, the simulators may be biased or limited. This creates a risk of shortcut learning, i.e., learning a policy tailored to specific visual details of training environments. We aim to deepen our understanding of shortcut learning in ObjectNav, its implications and propose a solution. We design an experiment for inserting a shortcut bias in the appearance of training environments. As a proof-of-concept, we associate room types to specific wall colors (e.g., bedrooms with green walls), and observe poor generalization of a state-of-the-art (SOTA) ObjectNav method to environments where this is not the case (e.g., bedrooms with blue walls). We find that shortcut learning is the root cause: the agent learns to navigate to target objects, by simply searching for the associated wall color of the target object's room. To solve this, we propose Language-Based (L-B) augmentation. Our key insight is that we can leverage the multimodal feature space of a Vision-Language Model (VLM) to augment visual representations directly at the feature-level, requiring no changes to the simulator, and only an addition of one layer to the model. Where the SOTA ObjectNav method's success rate drops 69%, our proposal has only a drop of 23%.Comment: 8 pages, 6 figures, to be published in IEEE IRC 202

    Differentiated thyroid carcinoma : treatment and clinical consequences of therapy

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    The first chapters of this thesis describe the treatment of radioiodine non-avid thyroid carcinoma with the tyrosine kinase inhibitor sorafenib. The remainder of the thesis describes the clinical consequences of the treatment of thyroid carcinoma.Bayer B.V. Novo Nordisk B.V. Servier Nederland Farma B.V. MSD B.V. Genzyme B.V. AstraZeneca B.V. Ipsen Farmaceutica B.V. Novartis Pharma B.V. J.E. Jurriaanse StichtingUBL - phd migration 201

    Tuta sub aegide Pallas. Drukkersmerken door de eeuwen heen

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    'Bibliotheca Thysiana. Tot publycque dienst der studie’

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    Medieval and Early Modern Studie

    Dutch Printing and Bookselling in the Golden Age

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    オランダ, ライデン, 1999年10月 27日-29
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