Jiawei Wu

Orcid: 0000-0003-4172-4438

Affiliations:
  • University of California, Santa Barbara, Department of Computer Science, CA, USA


According to our database1, Jiawei Wu authored at least 10 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2019
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

TWEETQA: A Social Media Focused Question Answering Dataset.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Self-Supervised Dialogue Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Reinforced Co-Training.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Video Captioning via Hierarchical Reinforcement Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018


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