Vaggos Chatziafratis

Adversarially Robust Low Dimensional Representations

2021 · arXiv (Cornell University)

Many machine learning systems are vulnerable to small perturbations made to inputs either at test time or at training time. This has received much recent interest on the empirical front due to applications where reliability …

The Complexity of Finding Local Optima in Contrastive Learning

2025

Contrastive learning is a powerful technique for discovering meaningful data representations by optimizing objectives based on $\textit{contrastive information}$, often given as a set of weighted triplets $\{(x_i, y_i^+, z_{i}^-)\}_{i = 1}^m$ indicating that an "anchor" …