1 code implementation • Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '23) 2023 • Karan Samel, Cheng Li, Weize Kong, Tao Chen, Mingyang Zhang, Shaleen Gupta, Swaraj Khadanga, Wensong Xu, Xingyu Wang, Kashyap Kolipaka, Mike Bendersky, Marc Najork
These inferred weights and terms can be used directly by a retrieval system to perform a query search.
Ranked #1 on Passage Retrieval on MS MARCO
2 code implementations • IJCNLP 2019 • Swaraj Khadanga, Karan Aggarwal, Shafiq Joty, Jaideep Srivastava
Monitoring patients in ICU is a challenging and high-cost task.
no code implementations • 23 Jul 2018 • Karan Aggarwal, Swaraj Khadanga, Shafiq R. Joty, Louis Kazaglis, Jaideep Srivastava
We propose an end-to-end framework that uses a combination of deep convolution and recurrent neural networks to extract high-level features from raw flow signal with a structured output layer based on a conditional random field to model the temporal transition structure of the sleep stages.