Sumukh K. Aithal

According to our database, Sumukh K. Aithal authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Leveraging the Third Dimension in Contrastive Learning.

Sumukh K. Aithal, Anirudh Goyal, Alex Lamb, Yoshua Bengio, Michael Mozer

CoRR, 2023

2022

Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data.

Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Venkatesh Babu R.

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.

Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, Venkatesh Babu Radhakrishnan

Proceedings of the International Conference on Machine Learning, 2022

2021

Robustness to Augmentations as a Generalization metric.

Sumukh K. Aithal, Dhruva Kashyap, Natarajan Subramanyam

CoRR, 2021

Domain Shift in Capsule Networks.

Rajath S, Sumukh K. Aithal, Natarajan Subramanyam

Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

S³VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation.

Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Transfer Learning using Neural Ordinary Differential Equations.

Rajath S, Sumukh K. Aithal, Natarajan Subramanyam

CoRR, 2020

Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning.

Yiding Jiang, Parth Natekar, Manik Sharma, Sumukh K. Aithal, Dhruva Kashyap, Natarajan Subramanyam, Carlos Lassance, Daniel M. Roy, Gintare Karolina Dziugaite, Suriya Gunasekar, Isabelle Guyon, Pierre Foret, Scott Yak, Hossein Mobahi, Behnam Neyshabur, Samy Bengio

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020