Renkun Ni - RankMe

29 papers A* 9A 2B 1Misc 2Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	SPEAR-MM: Selective Parameter Evaluation and Restoration via Model Merging for Efficient Financial LLM Adaptation. IEEE Big Data Berkcan Kapusuzoglu, Supriyo Chakraborty, Renkun Ni, Stephen Rawls, Sambit Sahu
2025	J	`jnl`	SPEAR-MM: Selective Parameter Evaluation and Restoration via Model Merging for Efficient Financial LLM Adaptation. CoRR Berkcan Kapusuzoglu, Supriyo Chakraborty, Renkun Ni, Stephen Rawls, Sambit Sahu
2024	Misc	`conf`	FedAQT: Accurate Quantized Training with Federated Learning. ICASSP Renkun Ni, Yonghui Xiao, Phoenix Meadowlark, Oleg Rybakov, Tom Goldstein, Ananda Theertha Suresh, Ignacio López-Moreno, Mingqing Chen, Rajiv Mathews
2023	A*	`conf`	Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. NeurIPS Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein
2023	J	`jnl`	Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. CoRR Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein
2023	A*	`conf`	GOAT: A Global Transformer on Large-scale Graphs. ICML Kezhi Kong, Jiuhai Chen, John Kirchenbauer, Renkun Ni, C. Bayan Bruss, Tom Goldstein
2023	—	`—`	Improving Model and Data Efficiency for Deep Learning. Renkun Ni
2023	A*	`conf`	Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent. ICLR Ping-Yeh Chiang, Renkun Ni, David Yu Miller, Arpit Bansal, Jonas Geiping, Micah Goldblum, Tom Goldstein
2022	J	`jnl`	K-SAM: Sharpness-Aware Minimization at the Speed of SGD. CoRR Renkun Ni, Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Andrew Gordon Wilson, Tom Goldstein
2022	—	`conf`	Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints. FAccT Amr Sharaf, Hal Daumé III, Renkun Ni
2022	A*	`conf`	The Close Relationship Between Contrastive Learning and Meta-Learning. ICLR Renkun Ni, Manli Shu, Hossein Souri, Micah Goldblum, Tom Goldstein
2021	A*	`conf`	Data Augmentation for Meta-Learning. ICML Renkun Ni, Micah Goldblum, Amr Sharaf, Kezhi Kong, Tom Goldstein
2021	A*	`conf`	GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training. NeurIPS Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein
2021	J	`jnl`	GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training. CoRR Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein
2021	J	`jnl`	Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging Yoganand Balagurunathan, Andrew Beers, Michael F. McNitt-Gray, Lubomir M. Hadjiiski, Sandy Napel, Dmitry B. Goldgof, Gustavo Pérez, Pablo Arbeláez, Alireza Mehrtash, Tina Kapur, Ehwa Yang, Jung Won Moon, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani
2021	A*	`conf`	WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic. ICLR Renkun Ni, Hong-Min Chu, Oscar Castañeda, Ping-Yeh Chiang, Christoph Studer, Tom Goldstein
2020	A*	`conf`	Certified Defenses for Adversarial Patches. ICLR Ping-Yeh Chiang, Renkun Ni, Ahmed Abdelkader, Chen Zhu, Christoph Studer, Tom Goldstein
2020	J	`jnl`	Certified Defenses for Adversarial Patches. CoRR Ping-Yeh Chiang, Renkun Ni, Ahmed Abdelkader, Chen Zhu, Christoph Studer, Tom Goldstein
2020	J	`jnl`	Data Augmentation for Meta-Learning. CoRR Renkun Ni, Micah Goldblum, Amr Sharaf, Kezhi Kong, Tom Goldstein
2020	J	`jnl`	Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers. CoRR Chen Zhu, Renkun Ni, Ping-Yeh Chiang, Hengduo Li, Furong Huang, Tom Goldstein
2020	A*	`conf`	Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks. ICML Micah Goldblum, Steven Reich, Liam Fowl, Renkun Ni, Valeriia Cherepanova, Tom Goldstein
2020	J	`jnl`	Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks. CoRR Micah Goldblum, Steven Reich, Liam Fowl, Renkun Ni, Valeriia Cherepanova, Tom Goldstein
2020	Misc	`conf`	Witchcraft: Efficient PGD Attacks with Random Step Size. ICASSP Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Tom Goldstein, Renkun Ni, Steven Reich, Ali Shafahi
2020	J	`jnl`	WrapNet: Neural Net Inference with Ultra-Low-Resolution Arithmetic. CoRR Renkun Ni, Hong-Min Chu, Oscar Castañeda, Ping-Yeh Chiang, Christoph Studer, Tom Goldstein
2019	J	`jnl`	Stochastic Quantization for Learning Accurate Low-Bit Deep Neural Networks. Int. J. Comput. Vis. Yinpeng Dong, Renkun Ni, Jianguo Li, Yurong Chen, Hang Su, Jun Zhu
2019	J	`jnl`	WITCHcraft: Efficient PGD attacks with random step size. CoRR Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Tom Goldstein, Renkun Ni, Steven Reich, Ali Shafahi
2017	A	`conf`	Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization. BMVC Yinpeng Dong, Jianguo Li, Renkun Ni
2017	J	`jnl`	Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization. CoRR Yinpeng Dong, Renkun Ni, Jianguo Li, Yurong Chen, Jun Zhu, Hang Su
2016	A	`conf`	Optimal Statistical and Computational Rates for One Bit Matrix Completion. AISTATS Renkun Ni, Quanquan Gu