A comprehensive list of my publications.

MS Thesis

Pharmacovigilance from Social Media using Limited Labelled Data
Shashank Gupta
MS By Research Thesis Presentation (slides)

Under Review

Publications

Recent Advances in the Foundations and Applications of Unbiased Learning to Rank
Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, and Harrie Oosterhuis
Tutorial accepted at SIGIR 2023 (proposal).

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

VAE-IPS: A Deep Generative Recommendation Method for Unbiased Learning From Implicit Feedback
Shashank Gupta, Harrie Oosterhuis, and Maarten de Rijke
RecSys 2022 Workshop on Causality, Counterfactuals, Sequential Decision-Making & Reinforcement Learning (CONSEQUENCES+REVEAL), 2022 (oral presentation) (paper, poster, video).

Neural Bag-of-Words Point Process Model for User Return Time Prediction in E-commerce
Shashank Gupta, Manish Bansal
CRUM Workshop at UMAP 2023.

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, TREC Fair Ranking Trec 21.

On Application of Bayesian Parametric and Non-parametric Models for User Cohorting in Product Search
Shashank Gupta
ECNLP@ACL’20, Position paper.

Session Length Prediction for Product Search on E-commerce Platform
Shashank Gupta, Subhadeep Maji
SIGIR 2020, Short Paper. (Link)

RARE : A Recurrent Attentive Recommendation Engine for News Aggregators
Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta and Vasudeva Varma
CIKM 2018, 6th International Workshop on News Recommendation and Analytics (INRA 2018) (paper)

A Comparative Study of Embeddings Methods for Hate Speech Detection from Tweets
Shashank Gupta, Zeerak Waseem
EMNLP 2018 Workshop on Noisy User Generated Text (Accepted as a poster)

CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection
Shashank Gupta, Raghuveer Thirukovalluru, Manjira Sinha and Sandya Mannarswamy.
ASONAM 2018 (Accepted as short paper Detailed version of paper, slides)

Semi-Supervised Recurrent Neural Network for Adverse Drug Mention Extraction.
Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani, Girish K Palshikar, Vasudeva Varma
BMC Bioinformatics Journal Special Edition (Extended version of the DTMBIO@CIKM presentation)

Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Social Media.
Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani and Girish K Palshikar
ECIR 2018 (paper, slides)

Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Social Media.
Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani and Girish K Palshikar
NIPS 2017 Machine Learning for Health (ML4H) poster

Co-training for Extraction of Adverse Drug Reaction Mentions from Social Media.
Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani and Girish K Palshikar
ECIR 2018 (paper, slides)

Co-training for Extraction of Adverse Drug Reaction Mentions from Social Media.
Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani and Girish K Palshikar
NIPS 2017 Machine Learning for Health (ML4H) poster

Semi-Supervised Recurrent Neural Network for Adverse Drug Mention Extraction.
Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani, Girish K Palshikar, Vasudeva Varma
ACM 11th International Workshop on Data and Text Mining in Biomedical informatics at CIKM 2017

TCS Research at TAC 2017: Joint Extraction of Entities and Relations from Drug Labels using an Ensemble of Neural Networks.
Sachin Pawar, Nitin Ramrakhiyani, Girish K Palshikar, Shashank Gupta and Vasudeva Varma
TAC 2017 ADR Track (paper)

Enhancing Categorization of Computer Science Research Papers using Knowledge Bases.
Shashank Gupta, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma .
KG4IR: Workshop on Knowledge-Graphs for Text Analysis and Retrieval at SIGIR 2017 (poster, slides, paper)

Simultaneous Inference of User Representations and Trust.
Shashank Gupta, Pulkit Parikh, Manish Gupta, Vasudeva Varma.
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2017 (slides)

Deep Learning for Hate Speech Detection in Tweets.
Pinkesh Badjatiya*, Shashank Gupta*, Manish Gupta, Vasudeva Varma (*Equal Contribution).
International World Wide Web Conference (WWW) 2017 (Best Poster Award)(poster, code)

Scientific Article Recommendation by using Distributed Representations of Text and Graph.
Shashank Gupta, Vasudeva Varma.
WWW 2017 (Poster Track)(slides)

Deep Neural Architectures for News Recommendation.
Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma.
Conference and Labs of the Evaluation Forum (CLEF) 2017 (paper)

Word Semantics based 3D Convolutional Neural Networks for News Recommendation.
Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Vasudeva Varma.
SERecSys at ICDM 2017 (paper)

User Profiling based Deep Neural Network for Temporal News Recommendation.
Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma.
SERecSys at ICDM 2017 (paper)