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Found 7 papers, 3 papers with code
Detecting Errors in a Numerical Response via any Regression Model
Noise plagues many numerical datasets, where the recorded values in the data may fail to match the true underlying values due to reasons including: erroneous sensors, data entry/processing mistakes, or imperfect human estimates.
Deep Extended Hazard Models for Survival Analysis
Rather than estimating the survival function targeted by most existing methods, we introduce a Deep Extended Hazard (DeepEH) model to provide a flexible and general framework for deep survival analysis.
Deep Learning for Functional Data Analysis with Adaptive Basis Layers
Despite their widespread success, the application of deep neural networks to functional data remains scarce today.
Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks
Convolutional neural networks (CNNs) are widely used to recognize the user's state through electroencephalography (EEG) signals.
ML-LOO: Detecting Adversarial Examples with Feature Attribution
Furthermore, we extend our method to include multi-layer feature attributions in order to tackle the attacks with mixed confidence levels.
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
We present a probabilistic framework for studying adversarial attacks on discrete data.
History PCA: A New Algorithm for Streaming PCA
In this paper we propose a new algorithm for streaming principal component analysis.
