Sriram Srinivasan

18 papers A* 4A 5Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning. CoRR Carl Qi, Xiaojie Wang, Silong Yong, Stephen Sheng, Huitan Mao, Sriram Srinivasan, Manikantan Nambi, Amy Zhang, Yesh Dattatreya
2024	—	`conf`	Bi-CAT: Improving Robustness of LLM-based Text Rankers to Conditional Distribution Shifts. WWW (Companion Volume) Sriram Srinivasan, Stephen Sheng, Rishabh Deshmukh, Chen Luo, Yesh Dattatreya, Subhajit Sanyal, S. V. N. Vishwanathan
2023	—	`conf`	Web-Scale Semantic Product Search with Large Language Models. PAKDD (3) Aashiq Muhamed, Sriram Srinivasan, Choon Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, S. V. N. Vishwanathan
2022	J	`jnl`	A taxonomy of weight learning methods for statistical relational learning. Mach. Learn. Sriram Srinivasan, Charles Dickens, Eriq Augustine, Golnoosh Farnadi, Lise Getoor
2022	A	`conf`	Learning explainable templated graphical models. UAI Varun Embar, Sriram Srinivasan, Lise Getoor
2021	J	`jnl`	A comparison of statistical relational learning and graph neural networks for aggregate graph queries. Mach. Learn. Varun Embar, Sriram Srinivasan, Lise Getoor
2020	A*	`conf`	BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic. AAAI Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor
2020	J	`jnl`	Estimating Aggregate Properties In Relational Networks With Unobserved Data. CoRR Varun Embar, Sriram Srinivasan, Lise Getoor
2020	A	`conf`	Joint Estimation of User And Publisher Credibility for Fake News Detection. CIKM Rajdipa Chowdhury, Sriram Srinivasan, Lise Getoor
2020	A*	`conf`	Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference. AAAI Sriram Srinivasan, Eriq Augustine, Lise Getoor
2020	—	`—`	Towards Fast And Accurate Structured Prediction. Sriram Srinivasan
2019	A	`conf`	Identifying Facet Mismatches In Search Via Micrographs. CIKM Sriram Srinivasan, Nikhil S. Rao, Karthik Subbian, Lise Getoor
2019	A*	`conf`	Lifted Hinge-Loss Markov Random Fields. AAAI Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor
2019	A*	`conf`	Scaling Multinomial Logistic Regression via Hybrid Parallelism. KDD Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan
2019	A	`conf`	Two-temperature logistic regression based on the Tsallis divergence. AISTATS Ehsan Amid, Manfred K. Warmuth, Sriram Srinivasan
2018	J	`jnl`	A Fairness-aware Hybrid Recommender System. CoRR Golnoosh Farnadi, Pigi Kouki, Spencer K. Thompson, Sriram Srinivasan, Lise Getoor
2018	J	`jnl`	Adaptive, Personalized Diversity for Visual Discovery. CoRR Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, S. V. N. Vishwanathan
2016	A	`conf`	Adaptive, Personalized Diversity for Visual Discovery. RecSys Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, S. V. N. Vishwanathan