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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 10: AAAI-22 Technical Tracks 10

AutoBERT-Zero: Evolving BERT Backbone from Scratch

February 1, 2023

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Authors

Jiahui Gao

The University of Hong Kong


Hang Xu

Huawei Noah's Ark Lab


Han Shi

The Hong Kong University of Science and Technology


Xiaozhe Ren

Huawei Noah's Ark Lab


Philip L. H. Yu

The Education University of Hong Kong


Xiaodan Liang

Sun Yat-sen University


Xin Jiang

Huawei Noah's Ark Lab


Zhenguo Li

Huawei Noah's Ark Lab


DOI:

10.1609/aaai.v36i10.21311


Abstract:

Transformer-based pre-trained language models like BERT and its variants have recently achieved promising performance in various natural language processing (NLP) tasks. However, the conventional paradigm constructs the backbone by purely stacking the manually designed global self-attention layers, introducing inductive bias and thus leads to sub-optimal. In this work, we make the first attempt to automatically discover novel pre-trained language model (PLM) backbone on a flexible search space containing the most fundamental operations from scratch. Specifically, we propose a well-designed search space which (i) contains primitive math operations in the intra-layer level to explore novel attention structures, and (ii) leverages convolution blocks to be the supplementary for attentions in the inter-layer level to better learn local dependency. To enhance the efficiency for finding promising architectures, we propose an Operation-Priority Neural Architecture Search (OP-NAS) algorithm, which optimizes both the search algorithm and evaluation of candidate models. Specifically, we propose Operation-Priority (OP) evolution strategy to facilitate model search via balancing exploration and exploitation. Furthermore, we design a Bi-branch Weight-Sharing (BIWS) training strategy for fast model evaluation. Extensive experiments show that the searched architecture (named AutoBERT-Zero) significantly outperforms BERT and its variants of different model capacities in various downstream tasks, proving the architecture's transfer and scaling abilities. Remarkably, AutoBERT-Zero-base outperforms RoBERTa-base (using much more data) and BERT-large (with much larger model size) by 2.4 and 1.4 higher score on GLUE test set.

Topics: AAAI

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HOW TO CITE:

Jiahui Gao||Hang Xu||Han Shi||Xiaozhe Ren||Philip L. H. Yu||Xiaodan Liang||Xin Jiang||Zhenguo Li AutoBERT-Zero: Evolving BERT Backbone from Scratch Proceedings of the AAAI Conference on Artificial Intelligence (2022) 10663-10671.

Jiahui Gao||Hang Xu||Han Shi||Xiaozhe Ren||Philip L. H. Yu||Xiaodan Liang||Xin Jiang||Zhenguo Li AutoBERT-Zero: Evolving BERT Backbone from Scratch AAAI 2022, 10663-10671.

Jiahui Gao||Hang Xu||Han Shi||Xiaozhe Ren||Philip L. H. Yu||Xiaodan Liang||Xin Jiang||Zhenguo Li (2022). AutoBERT-Zero: Evolving BERT Backbone from Scratch. Proceedings of the AAAI Conference on Artificial Intelligence, 10663-10671.

Jiahui Gao||Hang Xu||Han Shi||Xiaozhe Ren||Philip L. H. Yu||Xiaodan Liang||Xin Jiang||Zhenguo Li. AutoBERT-Zero: Evolving BERT Backbone from Scratch. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.10663-10671.

Jiahui Gao||Hang Xu||Han Shi||Xiaozhe Ren||Philip L. H. Yu||Xiaodan Liang||Xin Jiang||Zhenguo Li. 2022. AutoBERT-Zero: Evolving BERT Backbone from Scratch. "Proceedings of the AAAI Conference on Artificial Intelligence". 10663-10671.

Jiahui Gao||Hang Xu||Han Shi||Xiaozhe Ren||Philip L. H. Yu||Xiaodan Liang||Xin Jiang||Zhenguo Li. (2022) "AutoBERT-Zero: Evolving BERT Backbone from Scratch", Proceedings of the AAAI Conference on Artificial Intelligence, p.10663-10671

Jiahui Gao||Hang Xu||Han Shi||Xiaozhe Ren||Philip L. H. Yu||Xiaodan Liang||Xin Jiang||Zhenguo Li, "AutoBERT-Zero: Evolving BERT Backbone from Scratch", AAAI, p.10663-10671, 2022.

Jiahui Gao||Hang Xu||Han Shi||Xiaozhe Ren||Philip L. H. Yu||Xiaodan Liang||Xin Jiang||Zhenguo Li. "AutoBERT-Zero: Evolving BERT Backbone from Scratch". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.10663-10671.

Jiahui Gao||Hang Xu||Han Shi||Xiaozhe Ren||Philip L. H. Yu||Xiaodan Liang||Xin Jiang||Zhenguo Li. "AutoBERT-Zero: Evolving BERT Backbone from Scratch". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 10663-10671.

Jiahui Gao||Hang Xu||Han Shi||Xiaozhe Ren||Philip L. H. Yu||Xiaodan Liang||Xin Jiang||Zhenguo Li. AutoBERT-Zero: Evolving BERT Backbone from Scratch. AAAI[Internet]. 2022[cited 2023]; 10663-10671.


ISSN: 2374-3468


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