Renkun Ni
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
5
Active years
2016–2024
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICASSP | FedAQT: Accurate Quantized Training with Federated Learning. | Renkun Ni, Yonghui Xiao, Phoenix Meadowlark, Oleg Rybakov, Tom Goldstein, Ananda Theertha Suresh, Ignacio Lpez-Moreno, Mingqing Chen, Rajiv Mathews |
| 2023 | ICLR | Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent. | Ping-yeh Chiang, Renkun Ni, David Yu Miller, Arpit Bansal, Jonas Geiping, Micah Goldblum, Tom Goldstein |
| 2023 | ICML | GOAT: A Global Transformer on Large-scale Graphs. | Kezhi Kong, Jiuhai Chen, John Kirchenbauer, Renkun Ni, C. Bayan Bruss, Tom Goldstein |
| 2022 | ICLR | The Close Relationship Between Contrastive Learning and Meta-Learning. | Renkun Ni, Manli Shu, Hossein Souri, Micah Goldblum, Tom Goldstein |
| 2021 | ICLR | WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic. | Renkun Ni, Hong-Min Chu, Oscar Castaeda, Ping-yeh Chiang, Christoph Studer, Tom Goldstein |
| 2021 | ICML | Data Augmentation for Meta-Learning. | Renkun Ni, Micah Goldblum, Amr Sharaf, Kezhi Kong, Tom Goldstein |
| 2020 | ICASSP | Witchcraft: Efficient PGD Attacks with Random Step Size. | Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Tom Goldstein, Renkun Ni, Steven Reich, Ali Shafahi |
| 2020 | ICLR | Certified Defenses for Adversarial Patches. | Ping-yeh Chiang, Renkun Ni, Ahmed Abdelkader, Chen Zhu, Christoph Studer, Tom Goldstein |
| 2020 | ICML | Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks. | Micah Goldblum, Steven Reich, Liam Fowl, Renkun Ni, Valeriia Cherepanova, Tom Goldstein |
| 2017 | BMVC | Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization. | Yinpeng Dong, Jianguo Li, Renkun Ni |
| 2016 | AISTATS | Optimal Statistical and Computational Rates for One Bit Matrix Completion. | Renkun Ni, Quanquan Gu |