Shashank Rajput

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 30

Top Topics

Messy Genetic Algorithm

Number Of Iterations Required

Expressive Power

Top Venues

Publications

Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan H. Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Maheswaran Sathiamoorthy
Recommender Systems with Generative Retrieval. CoRR (2023)
Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris S. Papailiopoulos
Looped Transformers as Programmable Computers. CoRR (2023)
Samuel Horváth, Stefanos Laskaridis, Shashank Rajput, Hongyi Wang
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition. CoRR (2023)
Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Mahesh Sathiamoorthy
Recommender Systems with Generative Retrieval. NeurIPS (2023)
Angeliki Giannou, Shashank Rajput, Dimitris S. Papailiopoulos
The Expressive Power of Tuning Only the Norm Layers. CoRR (2023)
Angeliki Giannou, Shashank Rajput, Dimitris Papailiopoulos
The Expressive Power of Tuning Only the Normalization Layers. COLT (2023)
Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos
Looped Transformers as Programmable Computers. ICML (2023)
Chulhee Yun, Shashank Rajput, Suvrit Sra
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond. ICLR (2022)
Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks. CoRR (2022)
Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks. NeurIPS (2022)
Shashank Rajput, Kangwook Lee, Dimitris S. Papailiopoulos
Permutation-Based SGD: Is Random Optimal? ICLR (2022)
Kartik Sreenivasan, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos
Finding Nearly Everything within Random Binary Networks. AISTATS (2022)
Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. EMNLP (Findings) (2022)
Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. CoRR (2022)
Kartik Sreenivasan, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos
Finding Everything within Random Binary Networks. CoRR (2021)
Shashank Rajput, Kangwook Lee, Dimitris S. Papailiopoulos
Permutation-Based SGD: Is Random Optimal? CoRR (2021)
Chulhee Yun, Shashank Rajput, Suvrit Sra
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond. CoRR (2021)
Shashank Rajput, Kartik Sreenivasan, Dimitris S. Papailiopoulos, Amin Karbasi
An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks. CoRR (2021)
Shashank Rajput, Kartik Sreenivasan, Dimitris S. Papailiopoulos, Amin Karbasi
An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks. NeurIPS (2021)
Ankit Pensia, Shashank Rajput, Alliot Nagle, Harit Vishwakarma, Dimitris S. Papailiopoulos
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient. CoRR (2020)
Shashank Rajput, Anant Gupta, Dimitris S. Papailiopoulos
Closing the convergence gap of SGD without replacement. ICML (2020)
Ankit Pensia, Shashank Rajput, Alliot Nagle, Harit Vishwakarma, Dimitris S. Papailiopoulos
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient. NeurIPS (2020)
Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. NeurIPS (2020)
Shashank Rajput, Anant Gupta, Dimitris S. Papailiopoulos
Closing the convergence gap of SGD without replacement. CoRR (2020)
Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. CoRR (2020)
Zachary B. Charles, Shashank Rajput, Stephen J. Wright, Dimitris S. Papailiopoulos
Convergence and Margin of Adversarial Training on Separable Data. CoRR (2019)
Shashank Rajput, Zhili Feng, Zachary B. Charles, Po-Ling Loh, Dimitris S. Papailiopoulos
Does Data Augmentation Lead to Positive Margin? CoRR (2019)
Shashank Rajput, Zhili Feng, Zachary B. Charles, Po-Ling Loh, Dimitris S. Papailiopoulos
Does Data Augmentation Lead to Positive Margin? ICML (2019)
Shashank Rajput, Hongyi Wang, Zachary B. Charles, Dimitris S. Papailiopoulos
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation. CoRR (2019)
Shashank Rajput, Hongyi Wang, Zachary B. Charles, Dimitris S. Papailiopoulos
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation. NeurIPS (2019)