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.
Uncertainty Calibration for Ensemble-Based Debiasing Methods
Neural Information Processing Systems
Ensemble-based debiasing methods have been shown effective in mitigating the reliance of classifiers on specific dataset bias, by exploiting the output of a bias-only model to adjust the learning target.
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Universally Quantized Neural Compression
Neural Information Processing Systems
In this paper we focus on the issue of quantization.
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- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.68)
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Perturbation Learning Based Anomaly Detection
Neural Information Processing Systems
This paper presents a simple yet effective method for anomaly detection.
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