Shashank Gupta

42 papers A* 3A 5B 2Misc 3Journal 18Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning. Trans. Mach. Learn. Res. Shashank Gupta, Chaitanya Ahuja, Tsung-Yu Lin, Sreya Dutta Roy, Harrie Oosterhuis, Maarten de Rijke, Satya Narayan Shukla
2026	J	`jnl`	Additive Control Variates Dominate Self-Normalisation in Off-Policy Evaluation. CoRR Olivier Jeunen, Shashank Gupta
2025	J	`jnl`	A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning. CoRR Shashank Gupta, Chaitanya Ahuja, Tsung-Yu Lin, Sreya Dutta Roy, Harrie Oosterhuis, Maarten de Rijke, Satya Narayan Shukla
2025	Misc	`conf`	Towards Two-Stage Counterfactual Learning to Rank. ICTIR Shashank Gupta, Yiming Liao, Maarten de Rijke
2025	J	`jnl`	Towards Two-Stage Counterfactual Learning to Rank. CoRR Shashank Gupta, Yiming Liao, Maarten de Rijke
2024	J	`jnl`	A First Look at Selection Bias in Preference Elicitation for Recommendation. CoRR Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
2024	J	`jnl`	A Simpler Alternative to Variational Regularized Counterfactual Risk Minimization. CoRR Hua Chang Bakker, Shashank Gupta, Harrie Oosterhuis
2024	A	`conf`	Optimal Baseline Corrections for Off-Policy Contextual Bandits. RecSys Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke
2024	J	`jnl`	Optimal Baseline Corrections for Off-Policy Contextual Bandits. CoRR Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke
2024	A	`conf`	Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank. CIKM Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
2024	J	`jnl`	Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank. CoRR Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
2024	J	`jnl`	Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rank. CoRR Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
2024	A	`conf`	Unbiased Learning to Rank: On Recent Advances and Practical Applications. WSDM Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis
2023	Misc	`conf`	A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback. ICTIR Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
2023	—	`conf`	A Neural Bag-of-Words Point Process Model for User Return Time Prediction in E-commerce. UMAP (Adjunct Publication) Shashank Gupta, Manish Bansal
2023	—	`conf`	Recent Advancements in Unbiased Learning to Rank. FIRE Shashank Gupta, Philipp K. Hager, Harrie Oosterhuis
2023	A*	`conf`	Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. SIGIR Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis
2023	J	`jnl`	Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. CoRR Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis
2023	A*	`conf`	Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. SIGIR Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
2023	J	`jnl`	Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. CoRR Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
2022	J	`jnl`	Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark. CoRR Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Keyvan Farahani, Justin S. Kirby, Anastasia Oikonomou, Amir Asif, Leonard Wee, Andre Dekker, Xin Wu, Mohammad Ariful Haque, Shahruk Hossain, Md. Kamrul Hasan, Uday Kamal, Winston H. Hsu, Jhih-Yuan Lin, M. Sohel Rahman, Nabil Ibtehaz, Sh. M. Amir Foisol, Kin-Man Lam, Zhong Guang, Runze Zhang, Sumohana S. Channappayya, Shashank Gupta, Chander Dev
2021	—	`conf`	The University of Amsterdam at the TREC 2021 Fair Ranking Track. TREC Ali Vardasbi, Gabriel Bénédict, Shashank Gupta, Maria Heuss, Pooya Khandel, Ming Li, Fatemeh Sarvi
2020	A*	`conf`	Predicting Session Length for Product Search on E-commerce Platform. SIGIR Shashank Gupta, Subhadeep Maji
2019	Misc	`conf`	Perceptually Driven Conditional GAN for Fourier Ptychography. ACSSC Abhinau Kumar Venkataramanan, Shashank Gupta, Sumohana S. Channappayya
2018	A	`conf`	Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. ECIR Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar
2018	J	`jnl`	Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. CoRR Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish K. Palshikar
2018	J	`jnl`	Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. CoRR Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish K. Palshikar
2018	A	`conf`	Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. ECIR Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar
2018	—	`conf`	RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. CIKM Workshops Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma
2018	J	`jnl`	Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction. BMC Bioinform. Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar, Vasudeva Varma
2017	—	`conf`	Deep Learning for Hate Speech Detection in Tweets. WWW (Companion Volume) Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma
2017	J	`jnl`	Deep Learning for Hate Speech Detection in Tweets. CoRR Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma
2017	—	`conf`	Deep Neural Architecture for News Recommendation. CLEF (Working Notes) Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma
2017	—	`conf`	Enhancing Categorization of Computer Science Research Papers using Knowledge Bases. KG4IR@SIGIR Shashank Gupta, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma, Umang Gupta
2017	B	`conf`	No-reference quality assessment of tone mapped High Dynamic Range (HDR) images using transfer learning. QoMEX Abhinau Kumar Venkataramanan, Shashank Gupta, Sai Sheetal Chandra, Shanmuganathan Raman, Sumohana S. Channappayya
2017	—	`conf`	Scientific Article Recommendation by using Distributed Representations of Text and Graph. WWW (Companion Volume) Shashank Gupta, Vasudeva Varma
2017	J	`jnl`	Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction. CoRR Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar, Vasudeva Varma
2017	B	`conf`	Simultaneous Inference of User Representations and Trust. ASONAM Shashank Gupta, Pulkit Parikh, Manish Gupta, Vasudeva Varma
2017	J	`jnl`	Simultaneous Inference of User Representations and Trust. CoRR Shashank Gupta, Pulkit Parikh, Manish Gupta, Vasudeva Varma
2017	—	`conf`	TCS Research at TAC 2017: Joint Extraction of Entities and Relations from Drug Labels using an Ensemble of Neural Networks. TAC Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya, Nitin Ramrakhiyani, Shashank Gupta, Vasudeva Varma
2017	—	`conf`	User Profiling Based Deep Neural Network for Temporal News Recommendation. ICDM Workshops Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma
2017	—	`conf`	Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation. ICDM Workshops Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Vasudeva Varma