Amartya Sanyal

Low Rank Structure of Learned Representations.

2018 · arXiv (Cornell University)

A key feature of neural networks, particularly deep convolutional neural networks, is their ability to learn useful representations from data. The very last layer of a neural network is then simply a linear model trained …

Calibrating Deep Neural Networks using Focal Loss

2020 · arXiv (Cornell University)

Miscalibration - a mismatch between a model's confidence and its correctness - of Deep Neural Networks (DNNs) makes their predictions hard to rely on. Ideally, we want networks to be accurate, calibrated and confident. We …

How robust accuracy suffers from certified training with convex relaxations

2023 · arXiv (Cornell University)

Adversarial attacks pose significant threats to deploying state-of-the-art classifiers in safety-critical applications. Two classes of methods have emerged to address this issue: empirical defences and certified defences. Although certified defences come with robustness guarantees, empirical …