Shashank Rajput

1. Recommender Systems with Generative Retrieval
   2023/05/08 by Shashank Rajput, Rajput, Shashank, Nikhil Mehta +25 · 1 voice · 66 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques #Topic Modeling #cs.IR #cs.LG
2. Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
   2020/07/09 by Hongyi Wang, Kartik K. Sreenivasan, Wang, Hongyi +13 · 24 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
3. Looped Transformers as Programmable Computers
   2023/01/30 by Angeliki Giannou, Shashank Rajput, Giannou, Angeliki +9 · 30 citations
   Computer Science · Engineering · #Parallel Computing and Optimization Techniques #Ferroelectric and Negative Capacitance Devices #Neural Networks and Reservoir Computing
4. LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks
   2022/06/14 by Tuan Dinh, Yuchen Zeng, Dinh, Tuan +15 · 17 citations
   Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
5. Convergence and Margin of Adversarial Training on Separable Data
   2019/05/22 by Zachary Charles, Charles, Zachary, Shashank Rajput +5 · 5 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC)
6. DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
   2019/07/29 by Shashank Rajput, Hongyi Wang, Rajput, Shashank +5 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Distributed #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Parallel #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
7. Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
   2021/10/20 by Chulhee Yun, Shashank Rajput, Yun, Chulhee +3 · 2 citations
   Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Privacy-Preserving Technologies in Data
8. Does Data Augmentation Lead to Positive Margin?
   2019/05/08 by Shashank Rajput, Zhili Feng, Rajput, Shashank +7 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
9. Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
   2023/08/28 by Samuel Horváth, Stefanos Laskaridis, Horvath, Samuel +5 · 1 citation
   Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Advanced Neural Network Applications #Medical Image Segmentation Techniques