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blog.research.google | ||
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ssc.io
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| | | | | Domain generalization aims to design models that can effectively generalize to unseen target domains by learning from observed source domains. Domain generalization poses a significant challenge for time series data, due to varying data distributions and temporal dependencies. Existing approaches to domain generalization are not designed for time series data, which often results in suboptimal or unstable performance when confronted with diverse temporal patterns and complex data characteristics. We propose a novel approach to tackle the problem of domain generalization in time series forecasting. We focus on a scenario where time series domains share certain common attributes and exhibit no abrupt distribution shifts. Our method revolves around the incorpora... | |
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research.google
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| | | | | Posted by AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Research Vision-language foundational models are built on the premise of... | |
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www.kdnuggets.com
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| | | | | A beginner's guide to getting started with image captioning models with HuggingFace. | |
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swethatanamala.github.io
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| | | The authors developed a straightforward application of the Long Short-Term Memory (LSTM) architecture which can solve English to French translation. | ||
