Shashank Gupta

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Preference Elicitation

Contextual Bandit

Learning To Rank

Top Venues

Publications

Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
A First Look at Selection Bias in Preference Elicitation for Recommendation. CoRR (2024)
Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke
Optimal Baseline Corrections for Off-Policy Contextual Bandits. CoRR (2024)
Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis
Unbiased Learning to Rank: On Recent Advances and Practical Applications. WSDM (2024)
Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank. CoRR (2024)
Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback. ICTIR (2023)
Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. SIGIR (2023)
Shashank Gupta, Philipp K. Hager, Harrie Oosterhuis
Recent Advancements in Unbiased Learning to Rank. FIRE (2023)
Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. SIGIR (2023)
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
Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark. CoRR (2022)
Ali Vardasbi, Gabriel Bénédict, Shashank Gupta, Maria Heuss, Pooya Khandel, Ming Li, Fatemeh Sarvi
The University of Amsterdam at the TREC 2021 Fair Ranking Track. TREC (2021)
Abhinau K. Venkataramanan, Shashank Gupta, Sumohana S. Channappayya
Perceptually Driven Conditional GAN for Fourier Ptychography. ACSSC (2019)
Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma
RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. CIKM Workshops (2018)
Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish K. Palshikar
Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. CoRR (2018)
Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish K. Palshikar
Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. CoRR (2018)
Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar
Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. ECIR (2018)
Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar, Vasudeva Varma
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction. BMC Bioinform. (8) (2018)
Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar
Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. ECIR (2018)
Abhinau K. Venkataramanan, Shashank Gupta, Sai Sheetal Chandra, Shanmuganathan Raman, Sumohana S. Channappayya
No-reference quality assessment of tone mapped High Dynamic Range (HDR) images using transfer learning. QoMEX (2017)
Shashank Gupta, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma, Umang Gupta
Enhancing Categorization of Computer Science Research Papers using Knowledge Bases. KG4IR@SIGIR (2017)
Shashank Gupta, Pulkit Parikh, Manish Gupta, Vasudeva Varma
Simultaneous Inference of User Representations and Trust. ASONAM (2017)
Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar, Vasudeva Varma
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction. CoRR (2017)
Shashank Gupta, Pulkit Parikh, Manish Gupta, Vasudeva Varma
Simultaneous Inference of User Representations and Trust. CoRR (2017)
Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Vasudeva Varma
Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation. ICDM Workshops (2017)
Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma
Deep Learning for Hate Speech Detection in Tweets. CoRR (2017)
Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya, Nitin Ramrakhiyani, Shashank Gupta, Vasudeva Varma
TCS Research at TAC 2017: Joint Extraction of Entities and Relations from Drug Labels using an Ensemble of Neural Networks. TAC (2017)
Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma
Deep Neural Architecture for News Recommendation. CLEF (Working Notes) (2017)
Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma
User Profiling Based Deep Neural Network for Temporal News Recommendation. ICDM Workshops (2017)
Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma
Deep Learning for Hate Speech Detection in Tweets. WWW (Companion Volume) (2017)
Shashank Gupta, Vasudeva Varma
Scientific Article Recommendation by using Distributed Representations of Text and Graph. WWW (Companion Volume) (2017)