Hangbo Bao

According to our database¹, Hangbo Bao authored at least 21 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Fine-tuning pretrained transformer encoders for sequence-to-sequence learning.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., May, 2024

2023

A Unified View of Masked Image Modeling.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Corrupted Image Modeling for Self-Supervised Visual Pre-Training.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks.

[BibT_eX]

[DOI]

CoRR, 2022

BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers.

[BibT_eX]

[DOI]

CoRR, 2022

VL-BEiT: Generative Vision-Language Pretraining.

[BibT_eX]

[DOI]

CoRR, 2022

VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BEiT: BERT Pre-Training of Image Transformers.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Attention Temperature Matters in Abstractive Summarization Distillation.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts.

[BibT_eX]

[DOI]

CoRR, 2021

s2s-ft: Fine-Tuning Pretrained Transformer Encoders for Sequence-to-Sequence Learning.

[BibT_eX]

[DOI]

CoRR, 2021

BEiT: BERT Pre-Training of Image Transformers.

[BibT_eX]

[DOI]

Hangbo Bao

Li Dong

Furu Wei

CoRR, 2021

MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Learning to Sample Replacements for ELECTRA Pre-Training.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Neural Melody Composition from Lyrics.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2017

Neural Question Generation from Text: A Preliminary Study.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2017

Hangbo Bao

Timeline

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On csauthors.net:

Bibliography

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