Sumukh K. Aithal

Orcid: 0000-0002-5949-7694

According to our database1, Sumukh K. Aithal authored at least 9 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
Understanding Hallucinations in Diffusion Models through Mode Interpolation.
CoRR, 2024

2023
Leveraging the Third Dimension in Contrastive Learning.
CoRR, 2023

2022
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Closer Look at Smoothness in Domain Adversarial Training.
Proceedings of the International Conference on Machine Learning, 2022

2021
Robustness to Augmentations as a Generalization metric.
CoRR, 2021

Domain Shift in Capsule Networks.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

S<sup>3</sup>VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Transfer Learning using Neural Ordinary Differential Equations.
CoRR, 2020

Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020


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