Nishant Yadav

According to our database, Nishant Yadav authored at least 21 papers between 2018 and 2026.

Collaborative distances:

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

2026

climt-paraformer: Stable Emulation of Convective Parameterization using a Temporal Memory-aware Transformer.

Shuochen Wang, Nishant Yadav, Joy Merwin Monteiro, Auroop R. Ganguly

CoRR, April, 2026

2024

Paraformer: Parameterization of Sub-grid Scale Processes Using Transformers.

Shuochen Wang, Nishant Yadav, Auroop R. Ganguly

CoRR, 2024

Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders.

Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Clustering-based Sampling for Few-Shot Cross-Domain Keyphrase Extraction.

Prakamya Mishra, Lincy Pattanaik, Arunima Sundar, Nishant Yadav, Mayank Kulkarni

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Adaptive Selection of Anchor Items for CUR-based k-NN search with Cross-Encoders.

Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum

CoRR, 2023

CDA: Contrastive-adversarial Domain Adaptation.

Nishant Yadav, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Chetan Gupta, Auroop R. Ganguly

CoRR, 2023

Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition.

Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

What You See Is What You Breathe? Estimating Air Pollution Spatial Variation Using Street-Level Imagery.

Esra Suel, Meytar Sorek-Hamer, Izabela Moise, Michael Von Pohle, Adwait Sahasrabhojanee, Ata Akbari Asanjan, Raphael Arku, Abosede S. Alli, Benjamin Barratt, Sierra N. Clark, Ariane Middel, Emily Deardorff, Violet Lingenfelter, Nikunj C. Oza, Nishant Yadav, Majid Ezzati, Michael Brauer

Remote. Sens., 2022

Robustness of Explanation Methods for NLP Models.

Shriya Atmakuri, Tejas Chheda, Dinesh Kandula, Nishant Yadav, Taesung Lee, Hessel Tuinhof

CoRR, 2022

Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations.

Nishant Yadav, Meytar Sorek-Hamer, Michael Von Pohle, Ata Akbari Asanjan, Adwait Sahasrabhojanee, Esra Suel, Raphael Arku, Violet Lingenfelter, Michael Brauer, Majid Ezzati, Nikunj C. Oza, Auroop R. Ganguly

CoRR, 2022

Interactive Correlation Clustering with Existential Cluster Constraints.

Rico Angell, Nicholas Monath, Nishant Yadav, Andrew McCallum

Proceedings of the International Conference on Machine Learning, 2022

Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization.

Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Clustering-based Inference for Biomedical Entity Linking.

Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Session-Aware Query Auto-completion using Extreme Multi-Label Ranking.

Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Clustering-based Inference for Zero-Shot Biomedical Entity Linking.

Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum

CoRR, 2020

Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling.

Nishant Yadav, Sai Ravela, Auroop R. Ganguly

CoRR, 2020

Stochastic Package Queries in Probabilistic Databases.

Matteo Brucato, Nishant Yadav, Azza Abouzied, Peter J. Haas, Alexandra Meliou

Proceedings of the 2020 International Conference on Management of Data, 2020

A Deep Learning Approach to Short-Term Quantitative Precipitation Forecasting.

Nishant Yadav, Auroop R. Ganguly

Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020

2019

Dynamic Partition Bloom Filters: A Bounded False Positive Solution For Dynamic Set Membership (Extended Abstract).

Sidharth Negi, Ameya Dubey, Amitabha Bagchi, Manish Yadav, Nishant Yadav, Jeetu Raj

CoRR, 2019

Supervised Hierarchical Clustering with Exponential Linkage.

Nishant Yadav, Ari Kobren, Nicholas Monath, Andrew McCallum

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

VoCoG: An Intelligent, Non-Intrusive Assistant for Voice-based Collaborative Group-Viewing.

Sumit Shekhar, Aditya Siddhant, Anindya Shankar Bhandari, Nishant Yadav

CoRR, 2018