Jialin Mao - RankMe

20 papers A* 4Misc 4Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Convex Dominance in Deep Learning I: A Scaling Law of Loss and Learning Rate. CoRR Zhiqi Bu, Shiyun Xu, Jialin Mao
2025	J	`jnl`	A machine learning framework to adjust for learning effects in medical device safety evaluation. J. Am. Medical Informatics Assoc. Jejo D. Koola, Karthik Ramesh, Jialin Mao, Minyoung Ahn, Sharon E. Davis, Usha Govindarajulu, Amy Perkins, Dax M. Westerman, Henry Ssemaganda, Theodore Speroff, Lucila Ohno-Machado, Craig Ramsay, Art Sedrakyan, Frederic S. Resnic, Michael E. Matheny
2025	J	`jnl`	An Analytical Characterization of Sloppiness in Neural Networks: Insights from Linear Models. CoRR Jialin Mao, Itay Griniasty, Yan Sun, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
2023	A*	`conf`	A Picture of the Space of Typical Learnable Tasks. ICML Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
2023	J	`jnl`	Dynamic Changes, Spatiotemporal Differences, and Ecological Effects of Impervious Surfaces in the Yellow River Basin, 1986-2020. Remote. Sens. Jing Zhang, Jiaqiang Du, Shifeng Fang, Zhilu Sheng, Yangchengsi Zhang, Bingqing Sun, Jialin Mao, Lijuan Li
2023	J	`jnl`	Spatio-Temporal Variation and Prediction of Carbon Storage in Terrestrial Ecosystems in the Yellow River Basin. Remote. Sens. Bingqing Sun, Jiaqiang Du, Fangfang Chong, Lijuan Li, Xiaoqian Zhu, Guangqing Zhai, Zebang Song, Jialin Mao
2023	J	`jnl`	The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold. CoRR Jialin Mao, Itay Griniasty, Han Kheng Teoh, Rahul Ramesh, Rubing Yang, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
2022	Misc	`conf`	A Framework for Detecting Medical Device Safety Signals Confounded by Learning Effects Using Machine Learning. AMIA Jejo D. Koola, Jialin Mao, Sharon E. Davis, Henry Ssemaganda, Dax M. Westerman, Lucila Ohno-Machado, Frederic S. Resnic, Michael E. Matheny
2022	Misc	`conf`	A Framework for Generating Synthetic Clinical Datasets with Learning Effects to Support Methods Development and Validation. AMIA Sharon E. Davis, Henry Ssemaganda, Jejo Koola, Jialin Mao, Dax M. Westerman, Theodore Speroff, Usha Govindarajulu, Craig Ramsay, Lucila Ohno-Machado, Frederic S. Resnic, Michael E. Matheny
2022	J	`jnl`	A picture of the space of typical learnable tasks. CoRR Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
2022	Misc	`conf`	Disentangling and Characterizing Device Safety Signals and Learning Effects. AMIA Henry Ssemaganda, Frederic S. Resnic, Sharon E. Davis, Usha Govindarajulu, Jejo Koola, Jialin Mao, Dax M. Westerman, Theodore Speroff, Craig Ramsay, Art Sedrakyan, Lucila Ohno-Machado, Michael E. Matheny
2022	A*	`conf`	Does the Data Induce Capacity Control in Deep Learning? ICML Rubing Yang, Jialin Mao, Pratik Chaudhari
2022	A*	`conf`	Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy. NeurIPS Zhiqi Bu, Jialin Mao, Shiyun Xu
2022	J	`jnl`	Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy. CoRR Zhiqi Bu, Jialin Mao, Shiyun Xu
2022	Misc	`conf`	Using Linked Registry-Electronic Health Records to Examine Long-term Outcomes of Medical Devices. AMIA Jialin Mao, Michael Matheny, Philip Goodney, Art Sedrakyan
2021	J	`jnl`	Does the Data Induce Capacity Control in Deep Learning? CoRR Rubing Yang, Jialin Mao, Pratik Chaudhari
2018	A*	`conf`	Loss Functions for Multiset Prediction. NeurIPS Sean Welleck, Zixin Yao, Yu Gai, Jialin Mao, Zheng Zhang, Kyunghyun Cho
2017	J	`jnl`	Loss Functions for Multiset Prediction. CoRR Sean Welleck, Zixin Yao, Yu Gai, Jialin Mao, Zheng Zhang, Kyunghyun Cho
2017	—	`conf`	Saliency-based Sequential Image Attention with Multiset Prediction. NIPS Sean Welleck, Jialin Mao, Kyunghyun Cho, Zheng Zhang
2017	J	`jnl`	Saliency-based Sequential Image Attention with Multiset Prediction. CoRR Sean Welleck, Jialin Mao, Kyunghyun Cho, Zheng Zhang