| Robust loss functions under label noise for deep neural networks A Ghosh, H Kumar, PS Sastry Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017 | 1057 | 2017 |
| Context-aware attentive knowledge tracing A Ghosh, N Heffernan, A Lan Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 407 | 2020 |
| Making risk minimization tolerant to label noise A Ghosh, N Manwani, PS Sastry Neurocomputing 160, 93-107, 2015 | 253 | 2015 |
| Contrastive Learning Improves Model Robustness Under Label Noise A Ghosh, A Lan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 69 | 2021 |
| On the robustness of decision tree learning under label noise A Ghosh, N Manwani, PS Sastry Pacific-Asia Conference on Knowledge Discovery and Data Mining, 685-697, 2017 | 55 | 2017 |
| Automated scoring for reading comprehension via in-context bert tuning N Fernandez, A Ghosh, N Liu, Z Wang, B Choffin, R Baraniuk, A Lan International Conference on Artificial Intelligence in Education, 691-697, 2022 | 30 | 2022 |
| BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing A Ghosh, A Lan Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 29 | 2021 |
| Skill-based Career Path Modeling and Recommendation A Ghosh, B Woolf, S Zilberstein, A Lan 2020 IEEE International Conference on Big Data (Big Data), 1156-1165, 2020 | 21 | 2020 |
| Option Tracing: Beyond Correctness Analysis in Knowledge Tracing A Ghosh, J Raspat, A Lan International Conference on Artificial Intelligence in Education, 137-149, 2021 | 20 | 2021 |
| Do We Really Need Gold Samples for Sample Weighting Under Label Noise? A Ghosh, A Lan Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 16 | 2021 |
| Scalable bid landscape forecasting in real-time bidding A Ghosh, S Mitra, S Sarkhel, J Xie, G Wu, V Swaminathan Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 14 | 2019 |
| Utilizing machine learning to generate parametric distributions for digital bids in a real-time digital bidding environment S Mitra, A Ghosh, S Sarkhel, J Xie US Patent App. 16/248,287, 2020 | 9 | 2020 |
| Generative Sequential Stochastic Model for Marked Point Processes A Sharma, A Ghosh, M Fiterau ICML Time Series Workshop, 2019 | 8 | 2019 |
| Balancing Test Accuracy and Security in Computerized Adaptive Testing W Feng, A Ghosh, S Sireci, AS Lan International Conference on Artificial Intelligence in Education, 708–713, 2023 | 4 | 2023 |
| DiFA: Differentiable Feature Acquisition A Ghosh, A Lan Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence., 2023 | 4 | 2023 |
| DiPS: Differentiable Policy for Sketching in Recommender Systems A Ghosh, S Mitra, A Lan Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence., 2022 | 4 | 2022 |
| Optimal Bidding Strategy without Exploration in Real-time Bidding A Ghosh, S Mitra, S Sarkhel, V Swaminathan Proceedings of the 2020 SIAM International Conference on Data Mining, 298-306, 2020 | 4 | 2020 |
| A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing NA Kumar, W Feng, J Lee, H McNichols, A Ghosh, A Lan 16th International Conference on Educational Data Mining, 2023 | 2 | 2023 |
| A preference approach to reputation in sponsored search A Ghosh, D Gaurav, R Agrawal Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 1 | 2016 |
| FULLY DATA-DRIVEN COMPUTERIZED ADAPTIVE TESTING A Ghosh, W Feng, S Sireci, A Lan Machine Learning, Natural Language Processing, and Psychometrics, 159, 2024 | | 2024 |
Andrew S. LanUniversity of Massachusetts AmherstVerified email at cs.umass.edu
