2019.10.20 Neural papers

 

10-18-2019

On the Difficulty of Warm-Starting Neural Network Training
by Jordan T. Ash et al

10-17-2019

Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring
by Sagar Verma et al

10-15-2019

Analyzing symmetry and symmetry breaking by computational aesthetic measures
by Hendrik Richter

10-16-2019

Structural Analysis of Sparse Neural Networks
by Julian Stier et al

10-17-2019

Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance targeting Neuromorphic Processors
by Llewyn Salt et al

10-15-2019

Data-Driven Deep Learning of Partial Differential Equations in Modal Space
by Kailiang Wu et al

10-16-2019

Imperial College London Submission to VATEX Video Captioning Task
by Ozan Caglayan et al

10-16-2019

The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks
by Benjamin Cramer et al

10-16-2019

Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3
by Adel Ammar et al

10-18-2019

Efficient Computation of Probabilistic Dominance in Robust Multi-Objective Optimization
by Faramarz Khosravi et al

10-17-2019

Collaborative Filtering with Label Consistent Restricted Boltzmann Machine
by Sagar Verma et al

10-16-2019

Exploring the fitness landscape of a realistic turbofan rotor blade optimization
by Jakub Kmec et al

10-15-2019

Negatively Correlated Search as a Parallel Exploration Search Strategy
by Peng Yang et al

10-15-2019

Transfer Learning for Algorithm Recommendation
by Gean Trindade Pereira et al

10-15-2019

AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation
by Shouyong Jiang et al

10-16-2019

Explaining with Impact: A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms
by Zhong Qiu Lin et al

10-15-2019

DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images
by W. Ronny Huang et al

10-15-2019

Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution
by Filip Badan et al

 
Craig Smith