Mingyuan Zhou

Masking: A New Perspective of Noisy Supervision

2018 · arXiv (Cornell University)

It is important to learn various types of classifiers given training data with noisy labels. Noisy labels, in the most popular noise model hitherto, are corrupted from ground-truth labels by an unknown noise transition matrix. …

Comparing Probability Distributions with Conditional Transport

2020 · arXiv (Cornell University)

To measure the difference between two probability distributions, we propose conditional transport (CT) as a new divergence and further approximate it with the amortized CT (ACT) cost to make it amenable to implicit distributions and …

PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification

2023

Multi-label image classification is a prediction task that aims to identify more than one label from a given image. This paper considers the semantic consistency of the latent space between the visual patch and linguistic …

Switchable Decision: Dynamic Neural Generation Networks

2024 · arXiv (Cornell University)

Auto-regressive generation models achieve competitive performance across many different NLP tasks such as summarization, question answering, and classifications. However, they are also known for being slow in inference, which makes them challenging to deploy in …