Search Results for author:
Found 4 papers, 1 papers with code
Attention-based Iterative Decomposition for Tensor Product Representation
In recent research, Tensor Product Representation (TPR) is applied for the systematic generalization task of deep neural networks by learning the compositional structure of data.
Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks
Our findings suggest a new training paradigm for photonics-accelerated artificial intelligence based entirely on a physical analog of the popular backpropagation technique.
Distributed Associative Memory Network with Association Reinforcing Loss
To address these problems, here we introduce a novel Distributed Associative Memory architecture (DAM) with Association Reinforcing Loss (ARL) function which enhances the relation reasoning performance of memory augmented neural network.
Distributed Associative Memory Network with Memory Refreshing Loss
For this procedure, we replace a single external memory with a set of multiple smaller associative memory blocks and update these sub-memory blocks simultaneously and independently for the distributed representation of input data.
