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Found 5 papers, 1 papers with code
Compact: Approximating Complex Activation Functions for Secure Computation
State-of-the-art MPC techniques can be directly leveraged for DNN models that use simple activation functions such as ReLU.
Deconvolutional Density Network: Modeling Free-Form Conditional Distributions
Conditional density estimation (CDE) is the task of estimating the probability of an event conditioned on some inputs.
A Definition and a Test for Human-Level Artificial Intelligence
Despite recent advances of AI research in many application-specific domains, we do not know how to build a human-level artificial intelligence (HLAI).
Dimensionality Reduction for Sentiment Classification: Evolving for the Most Prominent and Separable Features
These techniques reject the features by considering term presence difference for SentiTPC and ratio of the distribution distinction for SentiTPR.
Improving Neural Network Classifier using Gradient-based Floating Centroid Method
In this study, a gradient-based floating centroid (GDFC) method is introduced to address the fixed centroid problem for the neural network classifiers optimized by gradient-based methods.
