14 citations · 21 across the 3 of their papers we have counts for
5 papers
Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs
Hung Le, Svetha Venkatesh
Artificial Neural Networks are uniquely adroit at machine learning by processing data through a network of artificial neurons. The inter-neuronal connection weights represent the l…
Self-Attentive Associative Memory
Hung Le, Truyen Tran, Svetha Venkatesh
Heretofore, neural networks with external memory are restricted to single memory with lossy representations of memory interactions. A rich representation of relationships between m…
Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory
Duc Nguyen, Nhan Tran, Hung Le
Convolutional Recurrent Neural Networks (CRNNs) excel at scene text recognition. Unfortunately, they are likely to suffer from vanishing/exploding gradient problems when processing…
Neural Stored-program Memory
Hung Le, Truyen Tran, Svetha Venkatesh
Neural networks powered with external memory simulate computer behaviors. These models, which use the memory to store data for a neural controller, can learn algorithms and other c…
Learning to Remember More with Less Memorization
Hung Le, Truyen Tran, Svetha Venkatesh
Memory-augmented neural networks consisting of a neural controller and an external memory have shown potentials in long-term sequential learning. Current RAM-like memory models mai…