Simultaneous Inference of User Representations and Trust. - Shashank Gupta 001; Pulkit Parikh; Manish Gupta 001; Vasudeva Varma (ASONAM, 2017)

Deep Neural Architecture for News Recommendation. - Vaibhav Kumar; Dhruv Khattar; Shashank Gupta 001; Manish Gupta 001; Vasudeva Varma (CLEF (Working Notes), 2017)

User Profiling Based Deep Neural Network for Temporal News Recommendation. - Vaibhav Kumar; Dhruv Khattar; Shashank Gupta 001; Manish Gupta 001; Vasudeva Varma (ICDM Workshops, 2017)

Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation. - Vaibhav Kumar; Dhruv Khattar; Shashank Gupta 001; Vasudeva Varma (ICDM Workshops, 2017)

No-reference quality assessment of tone mapped High Dynamic Range (HDR) images using transfer learning. - Abhinau Kumar Venkataramanan; Shashank Gupta 001; Sai Sheetal Chandra; Shanmuganathan Raman; Sumohana S. Channappayya (QoMEX, 2017)

Enhancing Categorization of Computer Science Research Papers using Knowledge Bases. - Shashank Gupta 001; Priya Radhakrishnan; Manish Gupta 001; Vasudeva Varma; Umang Gupta (KG4IR@SIGIR, 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 001; Vasudeva Varma (TAC, 2017)

Deep Learning for Hate Speech Detection in Tweets. - Pinkesh Badjatiya; Shashank Gupta 001; Manish Gupta 001; Vasudeva Varma (WWW (Companion Volume), 2017)

Scientific Article Recommendation by using Distributed Representations of Text and Graph. - Shashank Gupta 001; Vasudeva Varma (WWW (Companion Volume), 2017)

RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. - Dhruv Khattar; Vaibhav Kumar; Shashank Gupta 001; Manish Gupta 001; Vasudeva Varma (CIKM Workshops, 2018)

Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. - Shashank Gupta 001; Manish Gupta 001; Vasudeva Varma; Sachin Pawar; Nitin Ramrakhiyani; Girish Keshav Palshikar (ECIR, 2018)

Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. - Shashank Gupta 001; Manish Gupta 001; Vasudeva Varma; Sachin Pawar; Nitin Ramrakhiyani; Girish Keshav Palshikar (ECIR, 2018)

Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction. - Shashank Gupta 001; Sachin Pawar; Nitin Ramrakhiyani; Girish Keshav Palshikar; Vasudeva Varma (BMC Bioinform., 2018)

Perceptually Driven Conditional GAN for Fourier Ptychography. - Abhinau Kumar Venkataramanan; Shashank Gupta 001; Sumohana S. Channappayya (ACSSC, 2019)

Predicting Session Length for Product Search on E-commerce Platform. - Shashank Gupta 001; Subhadeep Maji (SIGIR, 2020)

The University of Amsterdam at the TREC 2021 Fair Ranking Track. - Ali Vardasbi; Gabriel Bénédict; Shashank Gupta 001; Maria Heuss; Pooya Khandel; Ming Li 068; Fatemeh Sarvi (TREC, 2021)

Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark. - Parnian Afshar; Arash Mohammadi 001; Konstantinos N. Plataniotis; Keyvan Farahani; Justin S. Kirby; Anastasia Oikonomou; Amir Asif; Leonard Wee; Andre Dekker; Xin Wu; Mohammad Ariful Haque; Shahruk Hossain; et al. (CoRR, 2022)

Recent Advancements in Unbiased Learning to Rank. - Shashank Gupta 001; Philipp K. Hager; Harrie Oosterhuis (FIRE, 2023)

A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback. - Shashank Gupta 001; Harrie Oosterhuis; Maarten de Rijke (ICTIR, 2023)

Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. - Shashank Gupta 001; Philipp Hager; Jin Huang 010; Ali Vardasbi; Harrie Oosterhuis (SIGIR, 2023)

Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. - Shashank Gupta 001; Harrie Oosterhuis; Maarten de Rijke (SIGIR, 2023)

A Neural Bag-of-Words Point Process Model for User Return Time Prediction in E-commerce. - Shashank Gupta 001; Manish Bansal (UMAP (Adjunct Publication), 2023)

Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank. - Shashank Gupta 001; Harrie Oosterhuis; Maarten de Rijke (CIKM, 2024)

Optimal Baseline Corrections for Off-Policy Contextual Bandits. - Shashank Gupta 001; Olivier Jeunen; Harrie Oosterhuis; Maarten de Rijke (RecSys, 2024)

Unbiased Learning to Rank: On Recent Advances and Practical Applications. - Shashank Gupta 001; Philipp Hager; Jin Huang 010; Ali Vardasbi; Harrie Oosterhuis (WSDM, 2024)

A First Look at Selection Bias in Preference Elicitation for Recommendation. - Shashank Gupta 001; Harrie Oosterhuis; Maarten de Rijke (CoRR, 2024)

A Simpler Alternative to Variational Regularized Counterfactual Risk Minimization. - Hua Chang Bakker; Shashank Gupta 001; Harrie Oosterhuis (CoRR, 2024)

Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rank. - Shashank Gupta 001; Harrie Oosterhuis; Maarten de Rijke (CoRR, 2024)

A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning. - Shashank Gupta 001; Chaitanya Ahuja; Tsung-Yu Lin; Sreya Dutta Roy; Harrie Oosterhuis; Maarten de Rijke; Satya Narayan Shukla (CoRR, 2025)

Towards Two-Stage Counterfactual Learning to Rank. - Shashank Gupta 001; Yiming Liao; Maarten de Rijke (CoRR, 2025)