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Yihe Deng
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2020 – today
- 2024
- [c9]Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu:
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. ICLR 2024 - [c8]Xuheng Li, Yihe Deng, Jingfeng Wu, Dongruo Zhou, Quanquan Gu:
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression. ICLR 2024 - [c7]Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu:
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models. ICML 2024 - [i11]Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu:
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models. CoRR abs/2401.01335 (2024) - [i10]Linxi Zhao, Yihe Deng, Weitong Zhang, Quanquan Gu:
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance. CoRR abs/2402.08680 (2024) - [i9]Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, James Zou, Kai-Wei Chang, Wei Wang:
Enhancing Large Vision Language Models with Self-Training on Image Comprehension. CoRR abs/2405.19716 (2024) - [i8]Chenchen Ye, Ziniu Hu, Yihe Deng, Zijie Huang, Mingyu Derek Ma, Yanqiao Zhu, Wei Wang:
MIRAI: Evaluating LLM Agents for Event Forecasting. CoRR abs/2407.01231 (2024) - 2023
- [c6]Yihe Deng
, Zuxu Dai
A Short Text Classification Model Based on Chinese Part-of-Speech Information and Mutual Learning. ICPCSEE (2) 2023: 330-343 - [c5]Yihe Deng, Yu Yang, Baharan Mirzasoleiman, Quanquan Gu:
Robust Learning with Progressive Data Expansion Against Spurious Correlation. NeurIPS 2023 - [i7]Yihe Deng, Yu Yang, Baharan Mirzasoleiman, Quanquan Gu:
Robust Learning with Progressive Data Expansion Against Spurious Correlation. CoRR abs/2306.04949 (2023) - [i6]Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu:
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. CoRR abs/2310.00927 (2023) - [i5]Yihe Deng, Weitong Zhang, Zixiang Chen, Quanquan Gu:
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves. CoRR abs/2311.04205 (2023) - [i4]Xuheng Li, Yihe Deng, Jingfeng Wu, Dongruo Zhou, Quanquan Gu:
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression. CoRR abs/2311.14222 (2023) - 2022
- [c4]Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li:
Towards Understanding the Mixture-of-Experts Layer in Deep Learning. NeurIPS 2022 - [i3]Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li:
Towards Understanding Mixture of Experts in Deep Learning. CoRR abs/2208.02813 (2022) - 2021
- [c3]Xiaosen Wang, Yichen Yang
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks. AAAI 2021: 13997-14005 - 2020
- [i2]Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He:
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks. CoRR abs/2008.03709 (2020)
2010 – 2019
- 2019
- [c2]Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che:
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency. ACL (1) 2019: 1085-1097 - [c1]Zengjian Chen, Jiayi Liu, Yihe Deng, Kun He, John E. Hopcroft:
Adaptive Wavelet Clustering for Highly Noisy Data. ICDE 2019: 328-337 - 2018
- [i1]Zengjian Chen, Jiayi Liu, Yihe Deng, Kun He, John E. Hopcroft:
Adaptive Wavelet Clustering for Highly Noisy Data. CoRR abs/1811.10786 (2018)
Coauthor Index
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last updated on 2024-09-04 01:24 CEST by the dblp team
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