Swish
PulseAugur coverage of Swish — every cluster mentioning Swish across labs, papers, and developer communities, ranked by signal.
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New algorithm offers robust learning for nonlinear AI models
Researchers have developed a novel algorithm for robustly learning Gaussian Single Index Models (SIMs) even when faced with heavy-tailed noise and adversarial corruption. This new method provides the first robust recove…
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Paper analyzes floating-point neural network expressivity
Researchers have published a paper exploring the expressive power of neural networks operating with floating-point arithmetic, moving beyond theoretical models that assume exact real numbers. The study introduces a fram…
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New method secures embedded neural networks against timing attacks
Researchers have developed a new methodology for implementing activation functions in embedded neural networks that prevents information leakage through timing side channels. This approach ensures consistent execution t…
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Neural networks achieve super-fast convergence and represent complex functions with floating-point arithmetic
Two new arXiv papers explore theoretical aspects of neural network convergence and representation capabilities. The first paper demonstrates that neural network classifiers can achieve super-fast convergence rates under…
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Researchers evolve activation functions to handle missing data in neural networks
Researchers have developed a novel approach called Three-Channel Evolved Activations (3C-EA) to address challenges in machine learning when dealing with missing data. Unlike traditional activation functions, 3C-EA incor…