2020.4.20 Neural papers

 

04-16-2020

Geometry-Aware Gradient Algorithms for Neural Architecture Search
by Liam Li et al

04-15-2020

Understanding Aesthetic Evaluation using Deep Learning
by Jon McCormack et al

04-15-2020

Light Weight Residual Dense Attention Net for Spectral Reconstruction from RGB Images
by D. Sabari Nathan et al

04-16-2020

Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing
by Declan Oller et al

04-15-2020

Automatic Generation of Algorithms for Black-Box Robust Optimisation Problems
by Martin Hughes et al

04-15-2020

Neural Status Registers
by Lukas Faber et al

04-15-2020

On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D
by Geoffrey Pruvost et al

04-15-2020

From Understanding Genetic Drift to a Smart-Restart Parameter-less Compact Genetic Algorithm
by Benjamin Doerr et al

04-14-2020

Exploring Cell counting with Neural Arithmetic Logic Units
by Ashish Rana et al

04-14-2020

dMFEA-II: An Adaptive Multifactorial Evolutionary Algorithm for Permutation-based Discrete Optimization Problems
by Eneko Osaba et al

04-14-2020

A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling
by Yali Wang et al

04-16-2020

Distributed Evolution of Deep Autoencoders
by Jeff Hajewski et al

04-15-2020

Transfer-Learning-Aware Neuro-Evolution for Diseases Detection in Chest X-Ray Images
by Albert Susanto et al

04-15-2020

Improving Many-objective Evolutionary Algorithms by Means of Expanded Cone Orders
by Yali Wang et al

04-16-2020

AMPSO: Artificial Multi-Swarm Particle Swarm Optimization
by Haohao Zhou et al

04-14-2020

Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems
by Koen van der Blom et al

04-14-2020

The (1+(λ,λ))(1+(λ,λ)) GA Is Even Faster on Multimodal Problems
by Denis Antipov et al

04-14-2020

Fast Mutation in Crossover-based Algorithms
by Denis Antipov et al

 
Craig Smith