Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Local learning rules to attenuate forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
Learning without Forgetting
Reinforced backpropagation for deep neural network learning
Understanding and Controlling Memory in Recurrent Neural Networks
One-shot Learning with Memory-Augmented Neural Networks
Neural Network Learning Without Backpropagation
Memory-Augmented Neural Networks for Knowledge Tracing from the Perspective of Learning and Forgetting
Local minima in training of neural networks
Understanding Hidden Memories of Recurrent Neural Networks
Adaptive Memory Networks
XPONENTIALLY VANISHING SUB-OPTIMAL LOCAL MINIMA IN MULTILAYER NEURAL NETWORKS
Learning Longer Memory in Recurrent Neural Networks
Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions
Memory Networks
ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking Neural Networks
Fast Learning in Networks of Locally-Tuned Processing Units
Bifurcations of Recurrent Neural Networks in Gradient Descent Learning
Generalization of Back propagation to Recurrent and Higher Order Neural Networks
Learning to Forget: Continual Prediction with LSTM
Cyclical Learning Rates for Training Neural Networks
Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation
Constructing optimal IP routing tables
Linearly convergent stochastic heavy ball method for minimizing generalization error
Continuous liquid interface production of 3D objects
The Forget-me-not Process