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Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration
Neural Information Processing Systems
Therefore, it has a high decoding speed but an unsatisfactory acceptance rate.
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Spontaneous Symmetry Breaking in Generative Diffusion Models Gabriel Raya
Neural Information Processing Systems
Generative diffusion models have recently emerged as a leading approach for generating high-dimensional data.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
Physics-Constrained Comprehensive Optical Neural Networks
Neural Information Processing Systems
In our experiments, the proposed method achieved a test classification accuracy of 96.5%
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