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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Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Neural Information Processing Systems
Work done as a visiting student at MIT. 38th Conference on Neural Information Processing Systems (NeurIPS 2024).
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SurprisingInstabilitiesinTrainingDeepNetworksand aTheoreticalAnalysis
Neural Information Processing Systems
Learning rates and schedules are often chosen heuristically to address this trade-off.
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