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  • Munich, Germany

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  1. hierarchical-language-modeling hierarchical-language-modeling Public

    We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subseque…

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  2. multimodal-self-distillation multimodal-self-distillation Public

    A generalized self-supervised training paradigm for unimodal and multimodal alignment and fusion.

    Python 5 2

  3. cross-modal-speech-segment-retrieval cross-modal-speech-segment-retrieval Public

    Learning a common representation space from speech and text for cross-modal retrieval given textual queries and speech files.

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  4. joint-nas-hpo joint-nas-hpo Public

    Automatically improving and analyzing the performance of a neural network for a fashion classification dataset. Instead of only considering the architecture and hyperparameters separately we build …

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  5. 3d-attention-video-understanding 3d-attention-video-understanding Public

    Using a 3D Nearby Self-Attention Transformer to leverage the spatiotemporal nature of video for representation learning.

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  6. seminar_multimodal_dl seminar_multimodal_dl Public

    Forked from slds-lmu/seminar_multimodal_dl

    https://slds-lmu.github.io/seminar_multimodal_dl/

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