Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning. - Harvineet Singh; Shiv Kumar Saini; Ritwick Chaudhry; Pradeep Dogga (EDM, 2018)

CL Scholar: The ACL Anthology Knowledge Graph Miner. - Mayank Singh 001; Pradeep Dogga; Sohan Patro; Dhiraj Barnwal; Ritam Dutt; Rajarshi Haldar; Pawan Goyal 002; Animesh Mukherjee 001 (NAACL-HLT (Demonstrations), 2018)

A System-Wide Debugging Assistant Powered by Natural Language Processing. - Pradeep Dogga; Karthik Narasimhan; Anirudh Sivaraman; Ravi Netravali (SoCC, 2019)

Edge-based Transcoding for Adaptive Live Video Streaming. - Pradeep Dogga; Sandip Chakraborty 001; Subrata Mitra; Ravi Netravali (HotEdge, 2019)

Revelio: ML-Generated Debugging Queries for Distributed Systems. - Pradeep Dogga; Karthik Narasimhan; Anirudh Sivaraman; Shiv Kumar Saini; George Varghese; Ravi Netravali (CoRR, 2021)

Revelio: ML-Generated Debugging Queries for Finding Root Causes in Distributed Systems. - Pradeep Dogga; Karthik Narasimhan; Anirudh Sivaraman; Shiv Kumar Saini; George Varghese; Ravi Netravali (MLSys, 2022)

AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure. - Pradeep Dogga; Chetan Bansal; Richard Costleigh; Gopinath Jayagopal; Suman Nath; Xuchao Zhang (USENIX ATC, 2023)

Towards Cloud-Scale Debugging - Pradeep Dogga (2024)

Scaling IP Lookup to Large Databases using the CRAM Lens. - Robert Chang; Pradeep Dogga; Andy Fingerhut; Victor Rios; George Varghese (NSDI, 2025)