Gaurav Singh

According to our database, Gaurav Singh authored at least 13 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2019

Text classification.

Gaurav Singh

PhD thesis, 2019

Constructing Artificial Data for Fine-tuning for Low-Resource Biomedical Text Tagging with Applications in PICO Annotation.

Gaurav Singh, Zahra Sabet, John Shawe-Taylor, James Thomas

CoRR, 2019

Relation Extraction using Explicit Context Conditioning.

Gaurav Singh, Parminder Bhatia

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Faster Convergence & Generalization in DNNs.

Gaurav Singh, John Shawe-Taylor

CoRR, 2018

Improving Active Learning in Systematic Reviews.

Gaurav Singh, James Thomas, John Shawe-Taylor

CoRR, 2018

Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding.

Gaurav Singh, James Thomas, Iain James Marshall, John Shawe-Taylor, Byron C. Wallace

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Benefits of Using Symmetric Loss in Recommender Systems.

Gaurav Singh, Sandra Mitrovic

Proceedings of the Advances in Information Retrieval, 2018

2017

Scalable RFM-enriched Representation Learning for Churn Prediction.

Sandra Mitrovic, Gaurav Singh, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Identifying Diagnostic Test Accuracy Publications using a Deep Model.

Gaurav Singh, Iain James Marshall, James Thomas, Byron C. Wallace

Proceedings of the Working Notes of CLEF 2017, 2017

A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation.

Gaurav Singh, Iain James Marshall, James Thomas, John Shawe-Taylor, Byron C. Wallace

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Neighborhood Sensitive Mapping for Zero-Shot Classification using Independently Learned Semantic Embeddings.

Gaurav Singh, Fabrizio Silvestri, John Shawe-Taylor

CoRR, 2016

Predicting Branch Visits and Upselling using Temporal Banking Data.

Sandra Mitrovic, Gaurav Singh

CoRR, 2016

Improving Profiles of Weakly-Engaged Users - With Applications to Recommender Systems.

Gaurav Singh, Amin Mantrach, Fabrizio Silvestri

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2016