Ahsaas Bajaj

According to our database, Ahsaas Bajaj authored at least 6 papers between 2019 and 2026.

Collaborative distances:

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

2026

Choosing the Right Regularizer for Applied ML: Simulation Benchmarks of Popular Scikit-learn Regularization Frameworks.

Benjamin S. Knight, Ahsaas Bajaj

CoRR, April, 2026

2021

Long Document Summarization in a Low Resource Setting using Pretrained Language Models.

Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020

An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text.

Daivik Swarup, Ahsaas Bajaj, Sheshera Mysore, Tim O'Gorman, Rajarshi Das, Andrew McCallum

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

RelEmb: A Relevance-based Application Embedding for Mobile App Retrieval and Categorization.

Shubham Krishna, Ahsaas Bajaj, Mukund Rungta, Vanraj Vala, Hemant Tiwari

Computación y Sistemas, 2019

Learning Mobile App Embeddings Using Multi-task Neural Network.

Ahsaas Bajaj, Shubham Krishna, Hemant Tiwari, Vanraj Vala

Proceedings of the Natural Language Processing and Information Systems, 2019

Enhanced Learning to Rank using Cluster-loss Adjustment.

Ahsaas Bajaj, Hemant Tiwari, Vanraj Vala

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019