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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
A look at Generalization and Overparameterized Networks
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Traditional viewpoint of the U-shaped bias-variance tradeoff curve for generalization performance of a network has been challenged in the recent years with observations such as double descent. What exactly is going on here? Read more
misc
Period 3 (Summer’24)
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I will document the summary of what I have been studying during Period-3 (16 weeks of Summer’24): High-Dimensional Probability Theory & Applications Statistics (Period-3) Read more
Periods 1 & 2 (Fall’23, Spring’24)
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I will document the summary of what I have been studying during Period-1 (16 weeks of Fall’23) and Period-2 (16 weeks of Spring’24):
- Algorithmic High-Dimensional Robust Statistics (Period-1)
- Theory of Reinforcement Learning (Period-2)
projects
Speech-based detection of ALS and Parkinson’s Disease
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To be updated. Read more
Memorization in Neural Networks: Does the Loss Function matter?
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We look at the nature of robustness provided by symmetric loss functions against label noise and how they resist memorization in neural networks. Read more
Adaptive Sample Selection for Robust Learning under Label Noise
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Accepted in WACV 2023 Read more
publications
Comparison of Speech Tasks for Automatic Classification of Patients with Amyotrophic Lateral Sclerosis and Healthy Subjects
Aravind Illa, Deep Patel, BK Yamini, Meera SS, Shivashankar N, Preethish-Kumar Veeramani, Seena Vengalil, Kiran Polavarapu, Saraswati Nashi, Atchayaram Nalini, Prasanta Kumar Ghosh Published at: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018
The paper has been accepted for poster persentation Read more
[paper]
Comparison of Speech Tasks and Recording Devices for Voice Based Automatic Classification of Healthy Subjects and Patients with Amyotrophic Lateral Sclerosis
Aravind Illa, Deep Patel, BK Yamini, Meera SS, Shivashankar N, Preethish-Kumar Veeramani, Seena Vengalil, Kiran Polavarapu, Saraswati Nashi, Atchayaram Nalini, Prasanta Kumar Ghosh Published at: Interspeech, 2019
The paper has been accepted for poster persentation Read more
[paper]
Memorization in Deep Neural Networks: Does the Loss Function matter?
Deep Patel, PS Sastry Published at: , 2020
The paper is under review. Read more