Conversational agents in therapeutic interventions for neurodevelopmental disorders: a survey

F Catania, M Spitale, F Garzotto - ACM Computing Surveys, 2023 - dl.acm.org
Neurodevelopmental Disorders (NDD) are a group of conditions with onset in the
developmental period characterized by deficits in the cognitive and social areas …

Attention mechanism in neural networks: where it comes and where it goes

D Soydaner - Neural Computing and Applications, 2022 - Springer
A long time ago in the machine learning literature, the idea of incorporating a mechanism
inspired by the human visual system into neural networks was introduced. This idea is …

A survey of large language models

WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou… - ar**s
between finite dimensional Euclidean spaces or finite sets. We propose a generalization of …

Are transformers more robust than cnns?

Y Bai, J Mei, AL Yuille, C **e - Advances in neural …, 2021 - proceedings.neurips.cc
Transformer emerges as a powerful tool for visual recognition. In addition to demonstrating
competitive performance on a broad range of visual benchmarks, recent works also argue …

Hierarchically gated recurrent neural network for sequence modeling

Z Qin, S Yang, Y Zhong - Advances in Neural Information …, 2024 - proceedings.neurips.cc
Transformers have surpassed RNNs in popularity due to their superior abilities in parallel
training and long-term dependency modeling. Recently, there has been a renewed interest …

Monarch mixer: A simple sub-quadratic gemm-based architecture

D Fu, S Arora, J Grogan, I Johnson… - Advances in …, 2024 - proceedings.neurips.cc
Abstract Machine learning models are increasingly being scaled in both sequence length
and model dimension to reach longer contexts and better performance. However, existing …