Priyanka Gupta

According to our database, Priyanka Gupta authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Guided Diffusion-based Counterfactual Augmentation for Robust Session-based Recommendation.

Muskan Gupta, Priyanka Gupta, Lovekesh Vig

CoRR, 2024

SCM4SR: Structural Causal Model-based Data Augmentation for Robust Session-based Recommendation.

Muskan Gupta, Priyanka Gupta, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

X4SR: Post-Hoc Explanations for Session-based Recommendations.

Jyoti Narwariya, Priyanka Gupta, Garima Gupta, Lovekesh Vig, Gautam Shroff

Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023

2021

CauSeR: Causal Session-based Recommendations for Handling Popularity Bias.

Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks.

Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff

J. Heal. Informatics Res., 2020

Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation.

Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

CoRR, 2020

2019

NISER: Normalized Item and Session Representations with Graph Neural Networks.

Priyanka Gupta, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

CoRR, 2019

Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN.

Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018

Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks.

Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

CoRR, 2018

Using Features From Pre-trained TimeNET For Clinical Predictions.

Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018