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Aritra Ghosh
Aritra Ghosh
Research Scientist, Meta
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Title
Cited by
Cited by
Year
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
9952017
Context-aware attentive knowledge tracing
A Ghosh, N Heffernan, A Lan
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
3642020
Making risk minimization tolerant to label noise
A Ghosh, N Manwani, PS Sastry
Neurocomputing 160, 93-107, 2015
2462015
Contrastive Learning Improves Model Robustness Under Label Noise
A Ghosh, A Lan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
672021
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
542017
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
292022
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing
A Ghosh, A Lan
Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021
292021
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
192020
Option Tracing: Beyond Correctness Analysis in Knowledge Tracing
A Ghosh, J Raspat, A Lan
International Conference on Artificial Intelligence in Education, 137-149, 2021
182021
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
152021
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
132019
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
92020
Generative Sequential Stochastic Model for Marked Point Processes
A Sharma, A Ghosh, M Fiterau
ICML Time Series Workshop, 2019
72019
DiFA: Differentiable Feature Acquisition
A Ghosh, A Lan
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence., 2023
42023
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
42022
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
42020
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
32023
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
22023
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
12016
Learning from Sequential User Data: Models and Sample-efficient Algorithms
A Ghosh
University of Massachusetts Amherst, 2023
2023
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