Bhargav Kanagal

23 papers A* 7A 4Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Measuring an LLM's Proficiency at using APIs: A Query Generation Strategy. KDD Ying Sheng, Sudeep Gandhe, Bhargav Kanagal, Nick Edmonds, Zachary Fisher, Sandeep Tata, Aarush Selvan
2022	J	`jnl`	ImPaKT: A Dataset for Open-Schema Knowledge Base Construction. CoRR Luke Vilnis, Zachary Fisher, Bhargav Kanagal, Patrick Murray, Sumit Sanghai
2022	A	`conf`	MAVE: A Product Dataset for Multi-source Attribute Value Extraction. WSDM Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal
2021	A	`conf`	DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. EACL Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, Ilya Eckstein
2021	J	`jnl`	DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. CoRR Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, Ilya Eckstein
2021	J	`jnl`	MAVE: A Product Dataset for Multi-source Attribute Value Extraction. CoRR Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal
2021	—	`conf`	RealFormer: Transformer Likes Residual Attention. ACL/IJCNLP (Findings) Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie
2021	J	`jnl`	ShopTalk: A System for Conversational Faceted Search. CoRR Gurmeet Manku, James Lee-Thorp, Bhargav Kanagal, Joshua Ainslie, Jingchen Feng, Zach Pearson, Ebenezer Anjorin, Sudeep Gandhe, Ilya Eckstein, Jim Rosswog, Sumit Sanghai, Michael Pohl, Larry Adams, D. Sivakumar
2020	A*	`conf`	Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach. KDD Qifan Wang, Li Yang, Bhargav Kanagal, Sumit Sanghai, D. Sivakumar, Bin Shu, Zac Yu, Jon Elsas
2020	J	`jnl`	RealFormer: Transformer Likes Residual Attention. CoRR Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie
2019	A	`conf`	Constructing a Comprehensive Events Database from the Web. CIKM Qifan Wang, Bhargav Kanagal, Vijay Garg, D. Sivakumar
2018	A*	`conf`	Recommendations for All: Solving Thousands of Recommendation Problems Daily. ICDE Bhargav Kanagal, Sandeep Tata
2017	A*	`conf`	A Generic Coordinate Descent Framework for Learning from Implicit Feedback. WWW Immanuel Bayer, Xiangnan He, Bhargav Kanagal, Steffen Rendle
2016	J	`jnl`	A Generic Coordinate Descent Framework for Learning from Implicit Feedback. CoRR Immanuel Bayer, Xiangnan He, Bhargav Kanagal, Steffen Rendle
2013	A*	`conf`	Focused matrix factorization for audience selection in display advertising. ICDE Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Lluis Garcia Pueyo, Jeffrey Yuan
2013	A	`conf`	Latent factor models with additive and hierarchically-smoothed user preferences. WSDM Amr Ahmed, Bhargav Kanagal, Sandeep Pandey, Vanja Josifovski, Lluis Garcia Pueyo, Jeffrey Yuan
2012	J	`jnl`	Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior CoRR Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Jeffrey Yuan, Lluis Garcia Pueyo
2012	J	`jnl`	Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior. Proc. VLDB Endow. Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Jeffrey Yuan, Lluis Garcia Pueyo
2011	—	`conf`	Sensitivity analysis and explanations for robust query evaluation in probabilistic databases. SIGMOD Conference Bhargav Kanagal, Jian Li, Amol Deshpande
2010	—	`conf`	Lineage processing over correlated probabilistic databases. SIGMOD Conference Bhargav Kanagal, Amol Deshpande
2009	A*	`conf`	Efficient Query Evaluation over Temporally Correlated Probabilistic Streams. ICDE Bhargav Kanagal, Amol Deshpande
2009	—	`conf`	Indexing correlated probabilistic databases. SIGMOD Conference Bhargav Kanagal, Amol Deshpande
2008	A*	`conf`	Online Filtering, Smoothing and Probabilistic Modeling of Streaming data. ICDE Bhargav Kanagal, Amol Deshpande