Rohan Anil
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
6
Active years
2016–2024
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | Combining Axes Preconditioners through Kronecker Approximation for Deep Learning. | Sai Surya Duvvuri, Devvrit, Rohan Anil, Cho-Jui Hsieh, Inderjit S. Dhillon |
| 2022 | AISTATS | LocoProp: Enhancing BackProp via Local Loss Optimization. | Ehsan Amid, Rohan Anil, Manfred K. Warmuth |
| 2022 | CVPR | Knowledge distillation: A good teacher is patient and consistent. | Lucas Beyer, Xiaohua Zhai, Amlie Royer, Larisa Markeeva, Rohan Anil, Alexander Kolesnikov |
| 2022 | EMNLP | Large-Scale Differentially Private BERT. | Rohan Anil, Badih Ghazi, Vineet Gupta, Ravi Kumar, Pasin Manurangsi |
| 2022 | RecSys | On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models. | Rohan Anil, Sandra Gadanho, Da Huang, Nijith Jacob, Zhuoshu Li, Dong Lin, Todd Phillips, Cristina Pop, Kevin Regan, Gil I. Shamir, Rakesh Shivanna, Qiqi Yan |
| 2019 | KDD | TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. | Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf |
| 2018 | ICLR | Large scale distributed neural network training through online distillation. | Rohan Anil, Gabriel Pereyra, Alexandre Passos, Rbert Ormndi, George E. Dahl, Geoffrey E. Hinton |
| 2016 | RecSys | Wide & Deep Learning for Recommender Systems. | Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, Hrishi Aradhye, Glen Anderson, Greg Corrado, Wei Chai, Mustafa Ispir, Rohan Anil, Zakaria Haque, Lichan Hong, Vihan Jain, Xiaobing Liu, Hemal Shah |