Large language models (LLMs) have demonstrated exceptional performance i...
As one of the energy-efficient alternatives of conventional neural netwo...
Spiking Neural Networks (SNNs) as one of the biology-inspired models hav...
The Spiking Neural Network (SNN) has attracted more and more attention
r...
Multilingual sentence representations are the foundation for similarity-...
The multilingual neural machine translation (NMT) model has a promising
...
Emerged as a biology-inspired method, Spiking Neural Networks (SNNs) mim...
Brain-inspired spiking neural networks (SNNs) have recently drawn more a...
Multi-modal aerial view object classification (MAVOC) in Automatic targe...
Structural breaks have been commonly seen in applications. Specifically ...
This paper studies constrained text generation, which is to generate
sen...
Building an effective adversarial attacker and elaborating on countermea...
Neural models have been investigated for sentiment classification over
c...
The temporal dynamics and the discriminative information in the audio si...
We establish, for the first time, connections between feedforward neural...
We introduce Latent Vector Grammars (LVeGs), a new framework that extend...
We propose the Gaussian attention model for content-based neural memory
...
Similarity between objects is multi-faceted and it can be easier for hum...