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.
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Neural Information Processing Systems
Mask classification is an alternative paradigm that disentangles the image partitioning and classification aspects of segmentation.
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When Counterpoint Meets Chinese Folk Melodies Nan Jiang
Neural Information Processing Systems
Counterpoint is an important concept in Western music theory.
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Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Neural Information Processing Systems
These properties are exemplified by natural language, but are also inherent to naturalistic data in a wide range of other domains.
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