no code implementations • 21 Nov 2023 • Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Edward Grefenstette, Tim Rocktäschel, David Scott Krueger
Fine-tuning large pre-trained models has become the de facto strategy for developing both task-specific and general-purpose machine learning systems, including developing models that are safe to deploy.
no code implementations • 13 Nov 2023 • Samyak Jain, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
Intensive Care Units (ICU) require comprehensive patient data integration for enhanced clinical outcome predictions, crucial for assessing patient conditions.
1 code implementation • 10 Jun 2023 • Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
Advances in adversarial defenses have led to a significant improvement in the robustness of Deep Neural Networks.
1 code implementation • CVPR 2023 • Samyak Jain, Sravanti Addepalli, Pawan Sahu, Priyam Dey, R. Venkatesh Babu
Generalization of neural networks is crucial for deploying them safely in the real world.
1 code implementation • 27 Oct 2022 • Sravanti Addepalli, Samyak Jain, R. Venkatesh Babu
We first explain this contrasting behavior by viewing augmentation during training as a problem of domain generalization, and further propose Diverse Augmentation-based Joint Adversarial Training (DAJAT) to use data augmentations effectively in adversarial training.
1 code implementation • 18 Oct 2022 • Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
The presence of images that flip Oracle predictions and those that do not makes this a challenging setting for adversarial robustness.
no code implementations • ICML Workshop AML 2021 • Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, Venkatesh Babu Radhakrishnan
The presence of images that flip Oracle predictions and those that do not, makes this a challenging setting for adversarial robustness.
1 code implementation • 11 Dec 2020 • Samyak Jain, Pradeep Yarlagadda, Shreyank Jyoti, Shyamgopal Karthik, Ramanathan Subramanian, Vineet Gandhi
We also explore a variation of ViNet architecture by augmenting audio features into the decoder.
no code implementations • 5 Aug 2020 • Aryansh Omray, Samyak Jain, Utsav Krishnan, Pratik Chattopadhyay
Video Denoising is one of the fundamental tasks of any videoprocessing pipeline.
no code implementations • 21 Jul 2020 • Yudhik Agrawal, Samyak Jain, Emily Carlson, Petri Toiviainen, Vinoo Alluri
As the field of Music Information Retrieval grows, it is important to take into consideration the multi-modality of music and how aspects of musical engagement such as movement and gesture might be taken into account.
no code implementations • 10 Jul 2020 • Sajan Kedia, Samyak Jain, Abhishek Sharma
Thus we obtain multiple price demand pairs for each product and we have to choose one of them for the live platform.
1 code implementation • 10 Mar 2020 • Navyasri Reddy, Samyak Jain, Pradeep Yarlagadda, Vineet Gandhi
As a result, we propose two novel end-to-end architectures called SimpleNet and MDNSal, which are neater, minimal, more interpretable and achieve state of the art performance on public saliency benchmarks.