| Self Supervised Pre-training for Large Scale Tabular Data S Chitlangia, A Muralidhar, R Agarwal NeurIPS 2022 First Table Representation Learning Workshop, 2022 | 4 | 2022 |
| Self-supervised Representation Learning Across Sequential and Tabular Features Using Transformers R Agarwal, A Muralidhar, A Som, H Kowshik NeurIPS 2022 First Table Representation Learning Workshop, 2022 | 3 | 2022 |
| Scaling generative pre-training for user ad activity sequences S Chitlangia, KR Kesari, R Agarwal AdKDD 2023, 2023 | 1 | 2023 |
| Real-time detection of robotic traffic in online advertising A Muralidhar, S Chitlangia, R Agarwal, M Ahmed Innovative Applications of Artificial Intelligence (AAAI-23), 2023 | 1 | 2023 |
| Learning self-supervised user representations using contextualized mixture of experts in transformers S Chakrabarty, R Agarwal, A Som ECML PKDD 2023 2nd International ML4ITS Workshop, 2023 | | 2023 |
| Learning explainable network request signatures for robot detection R Agarwal, S Chitlangia, A Muralidhar, A Niranjan, A Sharma, ... KDD 2023 - 3rd Workshop on Artificial Intelligence-Enabled Cybersecurity …, 2023 | | 2023 |
Sharad ChitlangiaResearch Scientist, AmazonVerified email at amazon.com
