Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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Visualizing and Measuring the Geometry of BERT
Emily Reif, Ann Yuan, Martin Wattenberg, Fernanda B. Viegas, Andy Coenen, Adam Pearce, Been Kim
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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Bridge the Modality and Capability Gaps in Vision-Language Model Selection
Neural Information Processing Systems
To better reuse the VLM resource and fully leverage its potential on different zero-shot image classification tasks, a promising strategy is selecting appropriate Pre-Trained VLMs from the VLM Zoo, relying solely on the text data of the target dataset without access to the dataset's images.
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e0308d73972d8dd5e2dd27853106386e-Paper.pdf
Neural Information Processing Systems
Although deep learning programs havedemonstrated strong performance on novel applications, they sacrifice many of the functionalities of traditional software programs.
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