| When do neural nets outperform boosted trees on tabular data? D McElfresh, S Khandagale, J Valverde, V Prasad C, G Ramakrishnan, ... Advances in Neural Information Processing Systems 36, 2024 | 31 | 2024 |
| Zero-Shot Insect Detection via Weak Language Supervision B Feuer, A Joshi, M Cho, K Jani, S Chiranjeevi, ZK Deng, A Balu, ... AAAI Workshop on AI for Agriculture and Food Sciences (AIAFS), 2023 | 5 | 2023 |
| A Meta-Analysis of Distributionally-Robust Models B Feuer, A Joshi, C Hegde ICML Workshop on Principles of Distribution Shift (PODS), 2022 | 4* | 2022 |
| Caption supervision enables robust learners B Feuer, A Joshi, C Hegde arXiv preprint arXiv:2210.07396, 2022 | 3 | 2022 |
| Scaling tabpfn: Sketching and feature selection for tabular prior-data fitted networks B Feuer, N Cohen, C Hegde NeurIPS 2023 Second Table Representation Learning Workshop, 2023 | 2 | 2023 |
| TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks B Feuer, RT Schirrmeister, V Cherepanova, C Hegde, F Hutter, ... arXiv preprint arXiv:2402.11137, 2024 | 1 | 2024 |
| Distributionally Robust Classification on a Data Budget B Feuer, A Joshi, M Pham, C Hegde Transactions on Machine Learning Research 2023 (01), 2023 | 1 | 2023 |
| LiT Tuned Models for Efficient Species Detection A Nakkab, B Feuer, C Hegde AAAI Workshop on AI for Agriculture and Food Sciences (AIAFS), 2023 | 1 | 2023 |
| Exploring Dataset-Scale Indicators of Data Quality B Feuer, C Hegde arXiv preprint arXiv:2311.04016, 2023 | | 2023 |
| ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models B Feuer, Y Liu, C Hegde, J Freire arXiv preprint arXiv:2310.18208, 2023 | | 2023 |
| In Search of Lost Accuracy B Feuer New York University Tandon School of Engineering, 2022 | | 2022 |
Chinmay HegdeNew York UniversityVerified email at nyu.edu
