2021.1.18 Neural papers

 

01-15-2021

The Geometry of Deep Generative Image Models and its Applications
by Binxu Wang et al

01-12-2021

Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling
by Muhammad Khalifa et al

01-14-2021

Optimal Energy Shaping via Neural Approximators
by Stefano Massaroli et al

01-14-2021

Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias
by Axel Laborieux et al

01-15-2021

Convolutional Neural Network with Pruning Method for Handwritten Digit Recognition
by Mengyu Chen

01-14-2021

Unveiling the role of plasticity rules in reservoir computing
by Guillermo B. Morales et al

01-14-2021

A Nature-Inspired Feature Selection Approach based on Hypercomplex Information
by Gustavo H. de Rosa et al

01-12-2021

Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks
by Karina Vasquez et al

01-15-2021

A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function
by Tiago A. E. Ferreira et al

01-15-2021

A Novel Prediction Approach for Exploring PM2.5 Spatiotemporal Propagation Based on Convolutional Recursive Neural Networks
by Hsing-Chung Chen et al

01-13-2021

A Multiple Classifier Approach for Concatenate-Designed Neural Networks
by Ka-Hou Chan et al

01-12-2021

A threshold search based memetic algorithm for the disjunctively constrained knapsack problem
by Zequn Wei et al

01-12-2021

An Evolutionary Game Model for Understanding Fraud in Consumption Taxes
by M. Chica et al

 
Craig Smith