Shubhendu Trivedi
Affiliations:- Massachusetts Institute of Technology (MIT), Computer Science and Artificial Intelligence Laboratory (CSAIL), Cambridge, MA, USA
- Brown University, Institute for Computational and Experimental Research in Mathematics (ICERM), Providence, RI, USA (former)
- University of Chicago, IL, USA (former, PhD 2018)
- Toyota Technological Institute at Chicago, IL, USA (former)
- Worcester Polytechnic Institute, Department of Computer Science, MA, USA (former)
According to our database1,
Shubhendu Trivedi
authored at least 34 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models.
Trans. Mach. Learn. Res., 2024
CoRR, 2024
Position Paper: Generalized grammar rules and structure-based generalization beyond classical equivariance for lexical tasks and transduction.
CoRR, 2024
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Trans. Mach. Learn. Res., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
2019
Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan".
CoRR, 2019
Deep Learning for Automated Classification and Characterization of Amorphous Materials.
CoRR, 2019
DeepCMB: Lensing reconstruction of the cosmic microwave background with deep neural networks.
Astron. Comput., 2019
2018
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2015
2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
Applying Clustering to the Problem of Predicting Retention within an ITS: Comparing Regularity Clustering with Traditional Methods.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013
2012
CoRR, 2012
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012
Proceedings of the 5th International Conference on Educational Data Mining, 2012
Proceedings of the 5th International Conference on Educational Data Mining, 2012
2011
Proceedings of the 4th International Conference on Educational Data Mining, 2011
Clustering Students to Generate an Ensemble to Improve Standard Test Score Predictions.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011