2020.5.4 Neural papers

 

04-30-2020

Few-Shot Learning for Abstractive Multi-Document Opinion Summarization
by Arthur Bražinskas et al

04-28-2020

Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners
by Rodrigo Canaan et al

04-30-2020

PreCNet: Next Frame Video Prediction Based on Predictive Coding
by Zdenek Straka et al

04-30-2020

Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing
by Adnan Mehonic et al

04-28-2020

Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi
by Rodrigo Canaan et al

04-28-2020

Genetic programming approaches to learning fair classifiers
by William La Cava et al

05-01-2020

Distilling Spikes: Knowledge Distillation in Spiking Neural Networks
by Ravi Kumar Kushawaha et al

04-30-2020

Attribution Analysis of Grammatical Dependencies in LSTMs
by Yiding Hao

04-30-2020

Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima
by Enzo Tartaglione et al

04-29-2020

Reduced Bond Graph via machine learning for nonlinear multiphysics dynamic systems
by Youssef Hammadi et al

04-28-2020

Spiking Machine Intelligence: What we can learn from biology and how spiking Neural Networks can help to improve Machine Learning
by Richard C. Gerum et al

04-28-2020

Multi-layer local optima networks for the analysis of advanced local search-based algorithms
by Marcella Scoczynski Ribeiro Martins et al

04-29-2020

Versatile Black-Box Optimization
by Jialin Liu et al

04-28-2020

Hybrid Adaptive Evolutionary Algorithm for Multi-objective Optimization
by Jeisson Prieto et al

04-28-2020

Angle-based Search Space Shrinking for Neural Architecture Search
by Yiming Hu et al

04-29-2020

On the Baldwin Effect under Coevolution
by Larry Bull

 
Craig Smith