引用次数
引用: 1,804
H-指数: 11
I10-指数 : 11
出版物: 20
Robust Loss Functions under Label Noise for Deep Neural Networks
P. S. Sastry , Himanshu Kumar , Aritra Ghosh
national conference on artificial intelligence 1919 -1925
632
2017
Optimal Bidding Strategy without Exploration in Real-time Bidding
Saayan Mitra , Somdeb Sarkhel , Aritra Ghosh , Viswanathan Swaminathan
arXiv: Learning
2020
Scalable Bid Landscape Forecasting in Real-Time Bidding
Saayan Mitra , Somdeb Sarkhel , Gang Wu , Jason Xie
european conference on principles of data mining and knowledge discovery 451 -466
2019
Context-Aware Attentive Knowledge Tracing
Neil Heffernan , Andrew S. Lan , Aritra Ghosh
arXiv: Learning
166
2020
On the Robustness of Decision Tree Learning Under Label Noise
Naresh Manwani , P. S. Sastry , Aritra Ghosh
pacific-asia conference on knowledge discovery and data mining 685 -697
15
2017
Do We Really Need Gold Samples for Sample Weighting Under Label Noise
Andrew S. Lan , Aritra Ghosh
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 3922 -3931
9
2021
Skill-based Career Path Modeling and Recommendation
Shlomo Zilberstein , Beverly Woolf , Andrew Lan , Aritra Ghosh
international conference on big data 1156 -1165
9
2020
Contrastive Learning Improves Model Robustness Under Label Noise.
Andrew S. Lan , Aritra Ghosh
arXiv: Computer Vision and Pattern Recognition
2021
Option Tracing: Beyond Correctness Analysis in Knowledge Tracing.
Andrew S. Lan , Aritra Ghosh , Jay Raspat
arXiv: Learning
9
2021
Making risk minimization tolerant to label noise
Aritra Ghosh , Naresh Manwani , P.S. Sastry
Neurocomputing 160 93 -107
123
2015
A Preference Approach to Reputation in Sponsored Search
Aritra Ghosh , Dinesh Gaurav , Rahul Agrawal
conference on information and knowledge management 2041 -2044
2016
Generative sequential stochastic model for marked point processes
Abhishek Sharma , Aritra Ghosh , Madalina Fiterau
Smpte Journal
3
2019
Automated scoring for reading comprehension via in-context bert tuning
Nigel Fernandez , Aritra Ghosh , Naiming Liu , Zichao Wang
Springer International Publishing 691 -697
26
2022
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing
Aritra Ghosh , Andrew Lan
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 2410 -2417
24
2021
Utilizing machine learning to generate parametric distributions for digital bids in a real-time digital bidding environment
Saayan Mitra , Aritra Ghosh , Somdeb Sarkhel , Jiatong Xie
8
2020
DiFA: Differentiable Feature Acquisition
Aritra Ghosh , Andrew Lan
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence.
4
2023
DiPS: Differentiable Policy for Sketching in Recommender Systems
Aritra Ghosh , Saayan Mitra , Andrew Lan
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence.
4
2022
Balancing Test Accuracy and Security in Computerized Adaptive Testing
Wanyong Feng , Aritra Ghosh , Stephen Sireci , Andrew S Lan
International Conference on Artificial Intelligence in Education 708–713 -708–713
2
2023
A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing
Nischal Ashok Kumar , Wanyong Feng , Jaewook Lee , Hunter McNichols
16th International Conference on Educational Data Mining
2
2023
Learning from Sequential User Data: Models and Sample-efficient Algorithms
Aritra Ghosh
University of Massachusetts Amherst
2023