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Yunzhen Feng
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2020 – today
- 2024
- [c3]Yunzhen Feng, Shanmukha Ramakrishna Vedantam, Julia Kempe:
Embarrassingly Simple Dataset Distillation. ICLR 2024 - [c2]Elvis Dohmatob, Yunzhen Feng, Pu Yang, François Charton, Julia Kempe:
A Tale of Tails: Model Collapse as a Change of Scaling Laws. ICML 2024 - [c1]Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang:
Do Efficient Transformers Really Save Computation? ICML 2024 - [i8]Elvis Dohmatob, Yunzhen Feng, Pu Yang, François Charton, Julia Kempe:
A Tale of Tails: Model Collapse as a Change of Scaling Laws. CoRR abs/2402.07043 (2024) - [i7]Elvis Dohmatob, Yunzhen Feng, Julia Kempe:
Model Collapse Demystified: The Case of Regression. CoRR abs/2402.07712 (2024) - [i6]Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang:
Do Efficient Transformers Really Save Computation? CoRR abs/2402.13934 (2024) - [i5]Yunzhen Feng, Tim G. J. Rudner, Nikolaos Tsilivis, Julia Kempe:
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks. CoRR abs/2404.19640 (2024) - [i4]Yunzhen Feng, Elvis Dohmatob, Pu Yang, François Charton, Julia Kempe:
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement. CoRR abs/2406.07515 (2024) - 2023
- [i3]Yunzhen Feng, Ramakrishna Vedantam, Julia Kempe
:
Embarassingly Simple Dataset Distillation. CoRR abs/2311.07025 (2023) - 2020
- [i2]Chizhou Liu, Yunzhen Feng, Ranran Wang, Bin Dong:
Enhancing Certified Robustness of Smoothed Classifiers via Weighted Model Ensembling. CoRR abs/2005.09363 (2020) - [i1]Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong:
Transferred Discrepancy: Quantifying the Difference Between Representations. CoRR abs/2007.12446 (2020)
2010 – 2019
- 2019
- [j1]Kaiyun Gu, Zhiyuan Guan
Numerical analysis of aortic hemodynamics under the support of venoarterial extracorporeal membrane oxygenation and intra-aortic balloon pump. Comput. Methods Programs Biomed. 182 (2019)
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last updated on 2024-10-07 21:23 CEST by the dblp team
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