Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: When Networks Disagree: Ensemble Methods for Hybrid Neural Networks
Neural network ensembles
Neural network regularization and ensembling using multi-objective evolutionary algorithms
Hybrid ensemble approach for classification
Online Ensemble Learning
Parallel consensual neural networks
Ensemble Methods in Machine Learning
Neural Network Ensembles, Cross Validation, and Active Learning
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
Fisher vectors meet Neural Networks: A hybrid classification architecture
Design of Effective Neural Network Ensembles for Image Classification Purposes
uncertainty in neural networks : bayesian ensembling .
Ensemble learning in Bayesian neural networks
Mixing Complexity and its Applications to Neural Networks
Activation Ensembles for Deep Neural Networks
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks
Index prediction with neuro-genetic hybrid network: A comparative analysis of performance
Checkpoint Ensembles: Ensemble Methods from a Single Training Process
Evaluating neural network explanation methods using hybrid documents and morphological agreement
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
Popular Ensemble Methods: An Empirical Study
Exploring FPGA-GPU Heterogeneous Architecture for ADAS: Towards Performance and Energy
Optimization by simulated annealing
An information complexity approach to extended formulations
Design of CMOS class-E power amplifier for WLAN and bluetooth applications
Trust and etiquette in high-criticality automated systems