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Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.

H. Zheng, Q. Zhong, L. Ding, Z. Tian, X. Niu, D. Li, and D. Tao. CoRR, (2023)

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Tian Tian

Zhiliang Hong

Zhiliang Wang

Zhiliang Chen

Weiwei Tian

Other publications of authors with the same name

EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization.P. Dong, L. Li, Z. Wei, X. Niu, Z. Tian, and H. Pan. ICCV, page 17030-17040. IEEE, (2023)Towards Efficiently Diversifying Dialogue Generation Via Embedding Augmentation.Y. Cao, L. Ding, Z. Tian, and M. Fang. ICASSP, page 7443-7447. IEEE, (2021)Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory.Z. Tian, Y. Wang, Y. Song, C. Zhang, D. Lee, Y. Zhao, D. Li, and N. Zhang. EMNLP (Findings), page 6364-6376. Association for Computational Linguistics, (2022)Semi-Supervised Lifelong Language Learning.Y. Zhao, Y. Zheng, B. Yu, Z. Tian, D. Lee, J. Sun, Y. Li, and N. Zhang. EMNLP (Findings), page 3937-3951. Association for Computational Linguistics, (2022)Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation.Y. Zhao, Z. Tian, H. Yao, Y. Zheng, D. Lee, Y. Song, J. Sun, and N. Zhang. ACL (1), page 583-595. Association for Computational Linguistics, (2022)Learning to Abstract for Memory-augmented Conversational Response Generation.Z. Tian, W. Bi, X. Li, and N. Zhang. ACL (1), page 3816-3825. Association for Computational Linguistics, (2019)How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models.Z. Tian, R. Yan, L. Mou, Y. Song, Y. Feng, and D. Zhao. ACL (2), page 231-236. Association for Computational Linguistics, (2017)RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies.P. Dong, X. Niu, L. Li, Z. Tian, X. Wang, Z. Wei, H. Pan, and D. Li. ICASSP, page 1-5. IEEE, (2023)Prompting GPT-3.5 for Text-to-SQL with De-semanticization and Skeleton Retrieval.C. Guo, Z. Tian, J. Tang, P. Wang, Z. Wen, K. Yang, and T. Wang. PRICAI (2), volume 14326 of Lecture Notes in Computer Science, page 262-274. Springer, (2023)Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.H. Zheng, Q. Zhong, L. Ding, Z. Tian, X. Niu, C. Wang, D. Li, and D. Tao. EMNLP, page 8964-8974. Association for Computational Linguistics, (2023)

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Disambiguation of "Tian, Zhiliang"

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Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.

Please choose a person to relate this publication to

Tian Tian

Zhiliang Hong

Zhiliang Wang

Zhiliang Chen

Weiwei Tian

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tian, Zhiliang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.

Please choose a person to relate this publication to

Tian Tian

Zhiliang Hong

Zhiliang Wang

Zhiliang Chen

Weiwei Tian

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.