Soumya Suvra Ghosal

Orcid: 0009-0002-6665-1183

According to our database1, Soumya Suvra Ghosal authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Are Vision Transformers Robust to Spurious Correlations?
Int. J. Comput. Vis., 2024

How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
CoRR, 2023

Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey.
CoRR, 2023

Distributionally Robust Optimization with Probabilistic Group.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Are Vision Transformers Robust to Spurious Correlations?
CoRR, 2022

A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection Using Compounded Corruptions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2020
Lung Nodule Classification Using Convolutional Autoencoder and Clustering Augmented Learning Method(CALM).
Proceedings of the ACM WSDM 2020 Health Search and Data Mining Workshop, 2020

ReSCo-CC: Unsupervised Identification of Key Disinformation Sentences.
Proceedings of the iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services, Virtual Event / Chiang Mai, Thailand, November 30, 2020

Novel Approach to Music Genre Classification using Clustering Augmented Learning Method (CALM).
Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, 2020

2019
A Deep Learning Approach to Predict Parking Occupancy using Cluster Augmented Learning Method.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Travel Time Prediction of Taxis using Tensor Factorization.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019


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