Sathiya Keerthi Selvaraj

17 papers A* 1A 5Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference. CoRR Zirui Liu, Qingquan Song, Qiang Charles Xiao, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Xia Hu
2024	J	`jnl`	LiMAML: Personalization of Deep Recommender Models via Meta Learning. CoRR Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang, Zeinab S. Jalali, Varun Bharill, Yunbo Ouyang, Aastha Nigam, Divya Venugopalan, Aman Gupta, Fedor Borisyuk, Sathiya Keerthi Selvaraj, Ajith Muralidharan
2024	A*	`conf`	Neural Optimization with Adaptive Heuristics for Intelligent Marketing System. KDD Changshuai Wei, Benjamin Zelditch, Joyce Chen, Andre Assuncao Silva T. Ribeiro, Jingyi Kenneth Tay, Borja Ocejo Elizondo, Sathiya Keerthi Selvaraj, Aman Gupta, Licurgo Benemann De Almeida
2024	J	`jnl`	Neural Optimization with Adaptive Heuristics for Intelligent Marketing System. CoRR Changshuai Wei, Benjamin Zelditch, Joyce Chen, Andre Assuncao Silva T. Ribeiro, Jingyi Kenneth Tay, Borja Ocejo Elizondo, Sathiya Keerthi Selvaraj, Aman Gupta, Licurgo Benemann De Almeida
2023	A	`conf`	Optimizing for Member Value in an Edge Building Marketplace. CIKM Ayan Acharya, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Parag Agrawal
2023	—	`conf`	Promoting Inactive Members in Edge-Building Marketplace. WWW (Companion Volume) Ayan Acharya, Siyuan Gao, Borja Ocejo, Kinjal Basu, Ankan Saha, Sathiya Keerthi Selvaraj, Rahul Mazumder, Parag Agrawal, Aman Gupta
2023	J	`jnl`	QuantEase: Optimization-based Quantization for Language Models - An Efficient and Intuitive Algorithm. CoRR Kayhan Behdin, Ayan Acharya, Aman Gupta, Sathiya Keerthi Selvaraj, Rahul Mazumder
2016	J	`jnl`	Learning Semantically Coherent and Reusable Kernels in Convolution Neural Nets for Sentence Classification. CoRR Madhusudan Lakshmana, Sundararajan Sellamanickam, Shirish K. Shevade, Sathiya Keerthi Selvaraj
2012	J	`jnl`	Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses CoRR Sathiya Keerthi Selvaraj, Sundararajan Sellamanickam, Shirish K. Shevade
2012	—	`conf`	Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses. COLING (Posters) Sathiya Keerthi Selvaraj, Sundararajan Sellamanickam, Shirish K. Shevade
2012	J	`jnl`	Graph Based Classification Methods Using Inaccurate External Classifier Information CoRR Sundararajan Sellamanickam, Sathiya Keerthi Selvaraj
2012	J	`jnl`	Predictive Approaches For Gaussian Process Classifier Model Selection CoRR Sundararajan Sellamanickam, Sathiya Keerthi Selvaraj
2012	A	`conf`	Regularized Structured Output Learning with Partial Labels. SDM Sundararajan Sellamanickam, Charu Tiwari, Sathiya Keerthi Selvaraj
2012	J	`jnl`	Transductive Classification Methods for Mixed Graphs CoRR Sundararajan Sellamanickam, Sathiya Keerthi Selvaraj
2011	A	`conf`	A pairwise ranking based approach to learning with positive and unlabeled examples. CIKM Sundararajan Sellamanickam, Priyanka Garg, Sathiya Keerthi Selvaraj
2011	A	`conf`	Semi-supervised SVMs for classification with unknown class proportions and a small labeled dataset. CIKM Sathiya Keerthi Selvaraj, Bigyan Bhar, Sundararajan Sellamanickam, Shirish K. Shevade
2011	A	`conf`	Semi-supervised multi-task learning of structured prediction models for web information extraction. CIKM Paramveer S. Dhillon, Sundararajan Sellamanickam, Sathiya Keerthi Selvaraj