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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Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models
Neural Information Processing Systems
This work was partly done while C.G. was at Google DeepMind. C.G. is currently affiliated with EPFL.
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d36dfcdb14473a8526111c221660f2ab-Paper-Conference.pdf
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In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? Webe present thenotion Assume Gisagroup.Gactson and Y : G Y !
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Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images
Magauiya Zhussip, Shakarim Soltanayev, Se Young Chun
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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