Yunzhen Feng - RankMe

23 papers A* 7Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification. ICLR Yunzhen Feng, Elvis Dohmatob, Pu Yang, François Charton, Julia Kempe
2025	J	`jnl`	Don't Waste Mistakes: Leveraging Negative RL-Groups via Confidence Reweighting. CoRR Yunzhen Feng, Parag Jain, Anthony Hartshorn, Yaqi Duan, Julia Kempe
2025	J	`jnl`	Multi-Modal Correction Network for Recommendation. IEEE Trans. Knowl. Data Eng. Zengmao Wang, Yunzhen Feng, Xin Zhang, Renjie Yang, Bo Du
2025	A*	`conf`	PILAF: Optimal Human Preference Sampling for Reward Modeling. ICML Yunzhen Feng, Ariel Kwiatkowski, Kunhao Zheng, Julia Kempe, Yaqi Duan
2025	J	`jnl`	PILAF: Optimal Human Preference Sampling for Reward Modeling. CoRR Yunzhen Feng, Ariel Kwiatkowski, Kunhao Zheng, Julia Kempe, Yaqi Duan
2025	J	`jnl`	Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Boostrapping. CoRR Pu Yang, Yunzhen Feng, Ziyuan Chen, Yuhang Wu, Zhuoyuan Li
2025	A*	`conf`	Strong Model Collapse. ICLR Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian, Julia Kempe
2025	J	`jnl`	What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT. CoRR Yunzhen Feng, Julia Kempe, Cheng Zhang, Parag Jain, Anthony Hartshorn
2024	A*	`conf`	A Tale of Tails: Model Collapse as a Change of Scaling Laws. ICML Elvis Dohmatob, Yunzhen Feng, Pu Yang, François Charton, Julia Kempe
2024	J	`jnl`	A Tale of Tails: Model Collapse as a Change of Scaling Laws. CoRR Elvis Dohmatob, Yunzhen Feng, Pu Yang, François Charton, Julia Kempe
2024	J	`jnl`	Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks. CoRR Yunzhen Feng, Tim G. J. Rudner, Nikolaos Tsilivis, Julia Kempe
2024	J	`jnl`	Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks. Trans. Mach. Learn. Res. Yunzhen Feng, Tim G. J. Rudner, Nikolaos Tsilivis, Julia Kempe
2024	J	`jnl`	Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement. CoRR Yunzhen Feng, Elvis Dohmatob, Pu Yang, François Charton, Julia Kempe
2024	A*	`conf`	Do Efficient Transformers Really Save Computation? ICML Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang
2024	J	`jnl`	Do Efficient Transformers Really Save Computation? CoRR Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang
2024	A*	`conf`	Embarrassingly Simple Dataset Distillation. ICLR Yunzhen Feng, Shanmukha Ramakrishna Vedantam, Julia Kempe
2024	A*	`conf`	Model Collapse Demystified: The Case of Regression. NeurIPS Elvis Dohmatob, Yunzhen Feng, Julia Kempe
2024	J	`jnl`	Model Collapse Demystified: The Case of Regression. CoRR Elvis Dohmatob, Yunzhen Feng, Julia Kempe
2024	J	`jnl`	Strong Model Collapse. CoRR Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian, Julia Kempe
2023	J	`jnl`	Embarassingly Simple Dataset Distillation. CoRR Yunzhen Feng, Ramakrishna Vedantam, Julia Kempe
2020	J	`jnl`	Enhancing Certified Robustness of Smoothed Classifiers via Weighted Model Ensembling. CoRR Chizhou Liu, Yunzhen Feng, Ranran Wang, Bin Dong
2020	J	`jnl`	Transferred Discrepancy: Quantifying the Difference Between Representations. CoRR Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong
2019	J	`jnl`	Numerical analysis of aortic hemodynamics under the support of venoarterial extracorporeal membrane oxygenation and intra-aortic balloon pump. Comput. Methods Programs Biomed. Kaiyun Gu, ZhiYuan Guan, Xuanqi Lin, Yunzhen Feng, Jieli Feng, Yujie Yang, Zhe Zhang, Yu Chang, Yunpeng Ling, Feng Wan