Graphs are an information-rich way to represent data. A graph consists of nodes — typically represented by circles — and edges — typically represented as ...
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This year, the Amazon Search team had two papers accepted at the Conference on Computer Vision and Pattern Recognition (CVPR), both focusing on image-text ...
Amazon's contributions to this year's European Conference on Computer Vision (ECCV) reflect the diversity of the company's research interests. Below is a ...
At this year’s Conference on Computer Vision and Pattern Recognition (CVPR), Prime Video presented four papers that indicate the broad range of cutting-edge ...
Amazon’s papers at this year’s International Conference on Computer Vision, organized by topic.3-DHAL3D: Hierarchical active learning for fine-grained 3D ...
Many recent advances in artificial intelligence are the result of representation learning: a machine learning model learns to represent data items as ...
Recent foundation models — such as large language models — have achieved state-of-the-art performance by learning to reconstruct randomly masked-out text or ...
Many machine learning (ML) applications involve embedding data in a representation space, where the geometric relationships between embeddings carry ...
Vision-language models, which map images and text to a common representational space, have demonstrated remarkable performance on a wide range of multimodal ...