Robust high-dimensional memory-augmented neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-22364-0
Abstract: Traditional neural networks require enormous amounts of data to build their complex mappings during a slow training procedure that hinders their abilities for relearning and adapting to new data. Memory-augmented neural networks enhance neural networks… read more here.
Keywords: high dimensional; neural networks; augmented neural; explicit memory ... See more keywords
Memory-Augmented Adaptive Flocking Control for Multi-agent Systems subject to Uncertain External Disturbances
Sign Up to like & getrecommendations! Published in 2021 at "Chinese Physics B"
DOI: 10.1088/1674-1056/ac21c1
Abstract: This paper presents a novel flocking algorithm based on a memory-enhanced disturbance observer. To compensate for external disturbances, a filtered regressor for the double integrator model subject to external disturbances is designed to extract the… read more here.
Keywords: disturbance; augmented adaptive; filtered regressor; memory augmented ... See more keywords
Memory-Augmented Differential Network for Infrared Small Target Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3510803
Abstract: Traditional U-Net-based methods in infrared small target detection (IRSTD) have demonstrated good performance. However, they often struggle with challenges such as blurred contour and strong interference in complex backgrounds. To overcome these issues, we propose… read more here.
Keywords: small target; memory augmented; memory; augmented differential ... See more keywords
An In-Memory Computing SRAM Macro for Memory-Augmented Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3132063
Abstract: In-Memory Computing (IMC) has been widely studied to mitigate data transfer bottlenecks in von Neumann architectures. Recently proposed IMC circuit topologies dramatically reduce data transfer requirements by performing various operations such as Multiply-Accumulate (MAC) inside… read more here.
Keywords: neural network; augmented neural; memory augmented; sram macro ... See more keywords
Memory Augmented Deep Recurrent Neural Network for Video Question Answering
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2938015
Abstract: Video question answering (VideoQA) is a very important but challenging multimedia task, which automatically analyzes questions and videos and generates accurate answers. However, research on VideoQA is still in its infancy. In this article, we… read more here.
Keywords: video; memory augmented; augmented deep; video question ... See more keywords
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3159445
Abstract: Memory-augmented neural networks enhance a neural network with an external key-value (KV) memory whose complexity is typically dominated by the number of support vectors in the key memory. We propose a generalized KV memory that… read more here.
Keywords: redundancy; value memory; memory augmented; memory ... See more keywords
A 40-nm Training-Inference STT-MRAM Near-Memory Computing Macro for Memory-Augmented Neural Network Acceleration
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2025.3597404
Abstract: Recently, memory-augmented neural networks (MANNs) have gained significant attention as a critical solution for few-shot learning (FSL). These networks leverage external memory to store prior knowledge, thereby enhancing classification efficiency. Spin-transfer torque magnetic random access… read more here.
Keywords: memory augmented; memory; stt mram; near memory ... See more keywords