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Di Jin
Publications
- 2023
- [j18]Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu:
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [c40]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. EMNLP 2022: 793-808 - [c38]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention. NAACL-HLT (Findings) 2022: 1375-1388 - [c36]Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang:
Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences. NAACL-HLT 2022: 5187-5199 - [i33]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention. CoRR abs/2205.03720 (2022) - [i31]Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu:
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks. CoRR abs/2206.00583 (2022) - [i25]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. CoRR abs/2210.14469 (2022) - 2021
- [i17]Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang:
Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences. CoRR abs/2112.05359 (2021)
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