Shashank Gupta

According to our database, Shashank Gupta authored at least 28 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rank.

Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke

CoRR, 2024

A Simpler Alternative to Variational Regularized Counterfactual Risk Minimization.

Hua Chang Bakker, Shashank Gupta, Harrie Oosterhuis

CoRR, 2024

Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank.

Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke

CoRR, 2024

A First Look at Selection Bias in Preference Elicitation for Recommendation.

Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke

CoRR, 2024

Unbiased Learning to Rank: On Recent Advances and Practical Applications.

Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Optimal Baseline Corrections for Off-Policy Contextual Bandits.

Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

A Neural Bag-of-Words Point Process Model for User Return Time Prediction in E-commerce.

Shashank Gupta, Manish Bansal

Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization.

Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Recent Advances in the Foundations and Applications of Unbiased Learning to Rank.

Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback.

Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke

Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023

Recent Advancements in Unbiased Learning to Rank.

Shashank Gupta, Philipp K. Hager, Harrie Oosterhuis

Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023

2022

Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark.

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

CoRR, 2022

2021

The University of Amsterdam at the TREC 2021 Fair Ranking Track.

Ali Vardasbi, Gabriel Bénédict, Shashank Gupta, Maria Heuss, Pooya Khandel, Ming Li, Fatemeh Sarvi

Proceedings of the Thirtieth Text REtrieval Conference, 2021

2020

Predicting Session Length for Product Search on E-commerce Platform.

Shashank Gupta, Subhadeep Maji

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

Perceptually Driven Conditional GAN for Fourier Ptychography.

Abhinau Kumar Venkataramanan, Shashank Gupta, Sumohana S. Channappayya

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction.

Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar, Vasudeva Varma

BMC Bioinform., 2018

Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets.

Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar

Proceedings of the Advances in Information Retrieval, 2018

Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets.

Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar

Proceedings of the Advances in Information Retrieval, 2018

RARE : A Recurrent Attentive Recommendation Engine for News Aggregators.

Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma

Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

2017

Scientific Article Recommendation by using Distributed Representations of Text and Graph.

Shashank Gupta, Vasudeva Varma

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Deep Learning for Hate Speech Detection in Tweets.

Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

TCS Research at TAC 2017: Joint Extraction of Entities and Relations from Drug Labels using an Ensemble of Neural Networks.

Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya, Nitin Ramrakhiyani, Shashank Gupta, Vasudeva Varma

Proceedings of the 2017 Text Analysis Conference, 2017

Enhancing Categorization of Computer Science Research Papers using Knowledge Bases.

Shashank Gupta, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma, Umang Gupta

Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 2017

No-reference quality assessment of tone mapped High Dynamic Range (HDR) images using transfer learning.

Abhinau Kumar Venkataramanan, Shashank Gupta, Sai Sheetal Chandra, Shanmuganathan Raman, Sumohana S. Channappayya

Proceedings of the Ninth International Conference on Quality of Multimedia Experience, 2017

Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation.

Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Vasudeva Varma

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

User Profiling Based Deep Neural Network for Temporal News Recommendation.

Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Deep Neural Architecture for News Recommendation.

Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma

Proceedings of the Working Notes of CLEF 2017, 2017

Simultaneous Inference of User Representations and Trust.

Shashank Gupta, Pulkit Parikh, Manish Gupta, Vasudeva Varma

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017