WebI'm pushing the frontiers of AI by: ÷ Unlocking intelligence & consciousness, ÷ Designing competent intelligent machines, and ÷ Transforming physical and digital fields through AI. I have made advances in: ÷ Memory-augmented neural networks: Neural Turing machines, ÷ Visual reasoning: Question Answering in Video and Image, ÷ AI for health: … Web3 apr. 2024 · To tackle these challenges, we propose a memory augmented graph neural network (MA-GNN) to capture both the long- and short-term user interests. Specifically, we apply a graph neural network to model the item contextual information within a short-term period and utilize a shared memory network to capture the long-range dependencies …

One-Shot Learning with Memory-Augmented Neural Networks …

Web8 sep. 2024 · M emory-Augmented Neural Networks (MANNs) were introduced in 2014 by two concurrent research efforts: Neural Turing Machines and Memory Networks. Since … Web19 jun. 2016 · Here, we demonstrate the ability of a memory-augmented neural network to rapidly assimilate new data, and leverage this data to make accurate predictions after … bradway properties

MANTRA: Memory Augmented Networks for Multiple Trajectory …

WebProceedings of Machine Learning Research WebWe present a memory-augmented approach to condition an autoregressive language model on a knowledge graph. We represent the graph as a collection of relation triples and retrieve relevant relations for a given context to improve text generation. Experiments on WikiText-103, WMT19, and enwik8 English datasets demonstrate that our approach … Web1 nov. 2024 · These networks augment conventional DNNs by incorporating memory and attention mechanisms external to the network to capture relevant information. Several MANN architectures have shown... hachi-nan tte season 2