2021.15.2 Neural papers

 

02-10-2021

Two Novel Performance Improvements for Evolving CNN Topologies
by Yaron Strauch et al

02-11-2021

Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems
by Kaiwen Li et al

02-12-2021

Min-Max-Plus Neural Networks
by Ye Luo et al

02-09-2021

Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search
by Peidong Liu et al

02-10-2021

A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit
by Yanis Bahroun et al

02-09-2021

A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT
by Hojjat Salehinejad et al

02-10-2021

Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems
by Mustafa Abdallah et al

02-12-2021

ReLU Neural Networks for Exact Maximum Flow Computation
by Christoph Hertrich et al

02-10-2021

Runtime Analysis of RLS and the (1+1) EA for the Chance-constrained Knapsack Problem with Correlated Uniform Weights
by Yue Xie et al

02-10-2021

A Neural Network with Local Learning Rules for Minor Subspace Analysis
by Yanis Bahroun et al

02-10-2021

Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)
by Vojtěch Vančura et al

02-09-2021

The Factory Must Grow: Automation in Factorio
by Kenneth N. Reid et al

02-09-2021

Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection
by Hussein Almulla et al

02-10-2021

Fast Classification Learning with Neural Networks and Conceptors for Speech Recognition and Car Driving Maneuvers
by Stefanie Krause et al

02-11-2021

Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder
by Quentin Garrido et al

02-09-2021

Consensus Based Multi-Layer Perceptrons for Edge Computing
by Haimonti Dutta et al

02-11-2021

Searching for Designs in-between
by Camilo Cruz Gambardella et al

02-12-2021

Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks
by Amine Aziz-Alaoui et al

02-12-2021

Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection
by Furong Ye et al

02-09-2021

Multi-GPU SNN Simulation with Perfect Static Load Balancing
by Dennis Bautembach et al

02-09-2021

Advanced Ore Mine Optimisation under Uncertainty Using Evolution
by William Reid et al

02-10-2021

Pruning of Convolutional Neural Networks Using Ising Energy Model
by Hojjat Salehinejad et al

02-10-2021

Towards Feature-Based Performance Regression Using Trajectory Data
by Anja Jankovic et al

02-10-2021

Heuristic Strategies for Solving Complex Interacting Stockpile Blending Problem with Chance Constraints
by Yue Xie et al

02-09-2021

Optimal Static Mutation Strength Distributions for the (1+λ)(1+λ) Evolutionary Algorithm on OneMax
by Maxim Buzdalov et al

 
Craig Smith