VoCoG: An Intelligent, Non-Intrusive Assistant for Voice-based Collaborative Group-Viewing. - Sumit Shekhar; Aditya Siddhant; Anindya Shankar Bhandari; Nishant Yadav (CoRR, 2018)

Supervised Hierarchical Clustering with Exponential Linkage. - Nishant Yadav; Ari Kobren; Nicholas Monath; Andrew McCallum (ICML, 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)

A Deep Learning Approach to Short-Term Quantitative Precipitation Forecasting. - Nishant Yadav; Auroop R. Ganguly (CI, 2020)

Stochastic Package Queries in Probabilistic Databases. - Matteo Brucato; Nishant Yadav; Azza Abouzied; Peter J. Haas; Alexandra Meliou (SIGMOD Conference, 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)

Clustering-based Inference for Zero-Shot Biomedical Entity Linking. - Rico Angell; Nicholas Monath; Sunil Mohan; Nishant Yadav; Andrew McCallum (CoRR, 2020)

Session-Aware Query Auto-completion using Extreme Multi-Label Ranking. - Nishant Yadav; Rajat Sen; Daniel N. Hill; Arya Mazumdar; Inderjit S. Dhillon (KDD, 2021)

Clustering-based Inference for Biomedical Entity Linking. - Rico Angell; Nicholas Monath; Sunil Mohan; Nishant Yadav; Andrew McCallum (NAACL-HLT, 2021)

Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization. - Nishant Yadav; Nicholas Monath; Rico Angell; Manzil Zaheer; Andrew McCallum (EMNLP, 2022)

Interactive Correlation Clustering with Existential Cluster Constraints. - Rico Angell; Nicholas Monath; Nishant Yadav; Andrew McCallum (ICML, 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)

Robustness of Explanation Methods for NLP Models. - Shriya Atmakuri; Tejas Chheda; Dinesh Kandula; Nishant Yadav; Taesung Lee; Hessel Tuinhof (CoRR, 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; et al. (Remote. Sens., 2022)

Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition. - Nishant Yadav; Nicholas Monath; Manzil Zaheer; Andrew McCallum (EMNLP (Findings), 2023)

CDA: Contrastive-adversarial Domain Adaptation. - Nishant Yadav; Mahbubul Alam; Ahmed K. Farahat; Dipanjan Ghosh; Chetan Gupta 001; Auroop R. Ganguly (CoRR, 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)

Clustering-based Sampling for Few-Shot Cross-Domain Keyphrase Extraction. - Prakamya Mishra; Lincy Pattanaik; Arunima Sundar; Nishant Yadav; Mayank Kulkarni (EACL (Findings), 2024)

Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders. - Nishant Yadav; Nicholas Monath; Manzil Zaheer; Rob Fergus; Andrew McCallum (ICLR, 2024)

Paraformer: Parameterization of Sub-grid Scale Processes Using Transformers. - Shuochen Wang; Nishant Yadav; Auroop R. Ganguly (CoRR, 2024)