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2020 – today
- 2024
[j2]Hangbo Bao, Li Dong, Wenhui Wang, Nan Yang, Songhao Piao
, Furu Wei:
Fine-tuning pretrained transformer encoders for sequence-to-sequence learning. Int. J. Mach. Learn. Cybern. 15(5): 1711-1728 (2024)- 2023
- [j1]Zhiliang Peng, Li Dong, Hangbo Bao, Furu Wei, Qixiang Ye:
A Unified View of Masked Image Modeling. Trans. Mach. Learn. Res. 2023 (2023) - [c13]Wenhui Wang, Hangbo Bao, Li Dong, Johan Bjorck, Zhiliang Peng, Qiang Liu, Kriti Aggarwal, Owais Khan Mohammed, Saksham Singhal, Subhojit Som, Furu Wei:
Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks. CVPR 2023: 19175-19186 - [c12]Yuxin Fang, Li Dong, Hangbo Bao, Xinggang Wang, Furu Wei:
Corrupted Image Modeling for Self-Supervised Visual Pre-Training. ICLR 2023 - 2022
- [c11]Shengqiang Zhang, Xingxing Zhang, Hangbo Bao, Furu Wei:
Attention Temperature Matters in Abstractive Summarization Distillation. ACL (1) 2022: 127-141 - [c10]Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei:
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. ACL (Findings) 2022: 3510-3520 - [c9]Hangbo Bao, Li Dong, Songhao Piao, Furu Wei:
BEiT: BERT Pre-Training of Image Transformers. ICLR 2022 - [c8]Hangbo Bao, Wenhui Wang, Li Dong, Qiang Liu, Owais Khan Mohammed, Kriti Aggarwal, Subhojit Som, Songhao Piao, Furu Wei:
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts. NeurIPS 2022 - [i16]Yuxin Fang, Li Dong, Hangbo Bao, Xinggang Wang, Furu Wei:
Corrupted Image Modeling for Self-Supervised Visual Pre-Training. CoRR abs/2202.03382 (2022) - [i15]Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei:
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. CoRR abs/2206.00216 (2022) - [i14]Hangbo Bao, Wenhui Wang, Li Dong, Furu Wei:
VL-BEiT: Generative Vision-Language Pretraining. CoRR abs/2206.01127 (2022) - [i13]Zhiliang Peng, Li Dong, Hangbo Bao, Qixiang Ye, Furu Wei:
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers. CoRR abs/2208.06366 (2022) - [i12]Wenhui Wang, Hangbo Bao, Li Dong, Johan Bjorck, Zhiliang Peng, Qiang Liu, Kriti Aggarwal, Owais Khan Mohammed, Saksham Singhal, Subhojit Som, Furu Wei:
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks. CoRR abs/2208.10442 (2022) - [i11]Zhiliang Peng, Li Dong, Hangbo Bao, Qixiang Ye, Furu Wei:
A Unified View of Masked Image Modeling. CoRR abs/2210.10615 (2022) - 2021
- [c7]Wenhui Wang, Hangbo Bao, Shaohan Huang, Li Dong, Furu Wei:
MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers. ACL/IJCNLP (Findings) 2021: 2140-2151 - [c6]Yaru Hao, Li Dong, Hangbo Bao, Ke Xu, Furu Wei:
Learning to Sample Replacements for ELECTRA Pre-Training. ACL/IJCNLP (Findings) 2021: 4495-4506 - [i10]Shengqiang Zhang, Xingxing Zhang, Hangbo Bao, Furu Wei:
Attention Temperature Matters in Abstractive Summarization Distillation. CoRR abs/2106.03441 (2021) - [i9]Hangbo Bao, Li Dong, Furu Wei:
BEiT: BERT Pre-Training of Image Transformers. CoRR abs/2106.08254 (2021) - [i8]Yaru Hao, Li Dong, Hangbo Bao, Ke Xu, Furu Wei:
Learning to Sample Replacements for ELECTRA Pre-Training. CoRR abs/2106.13715 (2021) - [i7]Hangbo Bao, Li Dong, Wenhui Wang, Nan Yang, Furu Wei:
s2s-ft: Fine-Tuning Pretrained Transformer Encoders for Sequence-to-Sequence Learning. CoRR abs/2110.13640 (2021) - [i6]Wenhui Wang, Hangbo Bao, Li Dong, Furu Wei:
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts. CoRR abs/2111.02358 (2021) - 2020
- [c5]Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon:
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. ICML 2020: 642-652 - [c4]Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, Ming Zhou:
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers. NeurIPS 2020 - [i5]Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, Ming Zhou:
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers. CoRR abs/2002.10957 (2020) - [i4]Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Songhao Piao, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon:
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. CoRR abs/2002.12804 (2020) - [i3]Wenhui Wang, Hangbo Bao, Shaohan Huang, Li Dong, Furu Wei:
MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers. CoRR abs/2012.15828 (2020)
2010 – 2019
- 2019
- [c3]Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Lei Cui, Songhao Piao, Ming Zhou:
Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension. MRQA@EMNLP 2019: 14-18 - [c2]Hangbo Bao, Shaohan Huang, Furu Wei, Lei Cui, Yu Wu, Chuanqi Tan, Songhao Piao, Ming Zhou:
Neural Melody Composition from Lyrics. NLPCC (1) 2019: 499-511 - 2018
- [i2]Hangbo Bao, Shaohan Huang, Furu Wei, Lei Cui, Yu Wu, Chuanqi Tan, Songhao Piao, Ming Zhou:
Neural Melody Composition from Lyrics. CoRR abs/1809.04318 (2018) - 2017
- [c1]Qingyu Zhou, Nan Yang, Furu Wei, Chuanqi Tan, Hangbo Bao, Ming Zhou:
Neural Question Generation from Text: A Preliminary Study. NLPCC 2017: 662-671 - [i1]Qingyu Zhou, Nan Yang, Furu Wei, Chuanqi Tan, Hangbo Bao, Ming Zhou:
Neural Question Generation from Text: A Preliminary Study. CoRR abs/1704.01792 (2017)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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