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Found 5 papers, 1 papers with code
Image-based Data Representations of Time Series: A Comparative Analysis in EEG Artifact Detection
We find that, while the choice of representation entails a choice within the tradeoff between bias and variance, certain representations are practically more effective in highlighting features which increase the signal-to-noise ratio of the data.
Practical Deepfake Detection: Vulnerabilities in Global Contexts
Recent advances in deep learning have enabled realistic digital alterations to videos, known as deepfakes.
Scalable Differential Privacy With Sparse Network Finetuning
We propose a novel method for privacy-preserving training of deep neural networks leveraging public, out-domain data.
Continuous Weight Balancing
We propose a simple method by which to choose sample weights for problems with highly imbalanced or skewed traits.
Binarized Neural Networks for Resource-Constrained On-Device Gait Identification
User authentication through gait analysis is a promising application of discriminative neural networks -- particularly due to the ubiquity of the primary sources of gait accelerometry, in-pocket cellphones.
