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Sumukh K. Aithal
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2020 – today
- 2024
- [i7]Sumukh K. Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter:
Understanding Hallucinations in Diffusion Models through Mode Interpolation. CoRR abs/2406.09358 (2024) - 2023
- [i6]Sumukh K. Aithal, Anirudh Goyal, Alex Lamb, Yoshua Bengio, Michael Mozer:
Leveraging the Third Dimension in Contrastive Learning. CoRR abs/2301.11790 (2023) - 2022
- [c5]Harsh Rangwani, Sumukh K. Aithal
, Mayank Mishra, Arihant Jain, Venkatesh Babu Radhakrishnan:
A Closer Look at Smoothness in Domain Adversarial Training. ICML 2022: 18378-18399 - [c4]Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Venkatesh Babu R.:
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. NeurIPS 2022 - [i5]Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, R. Venkatesh Babu
A Closer Look at Smoothness in Domain Adversarial Training. CoRR abs/2206.08213 (2022) - [i4]Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, R. Venkatesh Babu:
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. CoRR abs/2212.13827 (2022) - 2021
- [c3]Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation. ICCV 2021: 7496-7505 - [c2]Rajath S, Sumukh K. Aithal, Natarajan Subramanyam:
Domain Shift in Capsule Networks. ICPRAM 2021: 275-278 - [i3]Sumukh K. Aithal, Dhruva Kashyap, Natarajan Subramanyam:
Robustness to Augmentations as a Generalization metric. CoRR abs/2101.06459 (2021) - [i2]Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu:
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation. CoRR abs/2109.08901 (2021) - 2020
- [c1]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:
Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning. NeurIPS (Competition and Demos) 2020: 170-190 - [i1]Rajath S, Sumukh K. Aithal, Natarajan Subramanyam:
Transfer Learning using Neural Ordinary Differential Equations. CoRR abs/2001.07342 (2020)
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