Weight-sharing neural architecture search: A battle to shrink the optimization gap
Neural architecture search (NAS) has attracted increasing attention. In recent years,
individual search methods have been replaced by weight-sharing search methods for higher …
individual search methods have been replaced by weight-sharing search methods for higher …
Meta learning for natural language processing: A survey
Deep learning has been the mainstream technique in natural language processing (NLP)
area. However, the techniques require many labeled data and are less generalizable across …
area. However, the techniques require many labeled data and are less generalizable across …
Nas-bench-nlp: neural architecture search benchmark for natural language processing
N Klyuchnikov, I Trofimov, E Artemova… - IEEE …, 2022 - ieeexplore.ieee.org
Neural Architecture Search (NAS) is a promising and rapidly evolving research area.
Training a large number of neural networks requires an exceptional amount of …
Training a large number of neural networks requires an exceptional amount of …
Semeval-2022 Task 1: CODWOE--Comparing Dictionaries and Word Embeddings
T Mickus, K Van Deemter, M Constant… - arXiv preprint arXiv …, 2022 - arxiv.org
Word embeddings have advanced the state of the art in NLP across numerous tasks.
Understanding the contents of dense neural representations is of utmost interest to the …
Understanding the contents of dense neural representations is of utmost interest to the …
Leveraging similar users for personalized language modeling with limited data
C Welch, C Gu, JK Kummerfeld… - Proceedings of the …, 2022 - aclanthology.org
Personalized language models are designed and trained to capture language patterns
specific to individual users. This makes them more accurate at predicting what a user will …
specific to individual users. This makes them more accurate at predicting what a user will …
Compositional demographic word embeddings
Word embeddings are usually derived from corpora containing text from many individuals,
thus leading to general purpose representations rather than individually personalized …
thus leading to general purpose representations rather than individually personalized …
Ranknas: Efficient neural architecture search by pairwise ranking
This paper addresses the efficiency challenge of Neural Architecture Search (NAS) by
formulating the task as a ranking problem. Previous methods require numerous training …
formulating the task as a ranking problem. Previous methods require numerous training …
Neural architecture search for resource constrained hardware devices: A survey
Y Yang, J Zhan, W Jiang, Y Jiang… - IET Cyber‐Physical …, 2023 - Wiley Online Library
With the emergence of powerful and low‐energy Internet of Things devices, deep learning
computing is increasingly applied to resource‐constrained edge devices. However, the …
computing is increasingly applied to resource‐constrained edge devices. However, the …
Learning reliable neural networks with distributed architecture representations
Neural architecture search (NAS) has shown the strong performance of learning neural
models automatically in recent years. But most NAS systems are unreliable due to the …
models automatically in recent years. But most NAS systems are unreliable due to the …
DORE: A Dataset For Portuguese Definition Generation
Definition modelling (DM) is the task of automatically generating a dictionary definition for a
specific word. Computational systems that are capable of DM can have numerous …
specific word. Computational systems that are capable of DM can have numerous …