Automl for deep recommender systems: A survey

R Zheng, L Qu, B Cui, Y Shi, H Yin - ACM Transactions on Information …, 2023 - dl.acm.org
Recommender systems play a significant role in information filtering and have been utilized
in different scenarios, such as e-commerce and social media. With the prosperity of deep …

A comprehensive survey on hardware-aware neural architecture search

H Benmeziane, KE Maghraoui, H Ouarnoughi… - ar** field of neural architecture search (NAS) required
fully training thousands of neural networks. To reduce this extreme computational cost …

Neural architecture search for transformers: A survey

KT Chitty-Venkata, M Emani, V Vishwanath… - IEEE …, 2022 - ieeexplore.ieee.org
Transformer-based Deep Neural Network architectures have gained tremendous interest
due to their effectiveness in various applications across Natural Language Processing (NLP) …

Best practices for scientific research on neural architecture search

M Lindauer, F Hutter - Journal of Machine Learning Research, 2020 - jmlr.org
Finding a well-performing architecture is often tedious for both deep learning practitioners
and researchers, leading to tremendous interest in the automation of this task by means of …