Search Results for author: Charles Weill

Found 3 papers, 2 papers with code

Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks

no code implementations30 Oct 2019 Ben Adlam, Charles Weill, Amol Kapoor

We investigate under and overfitting in Generative Adversarial Networks (GANs), using discriminators unseen by the generator to measure generalization.

AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles

1 code implementation30 Apr 2019 Charles Weill, Javier Gonzalvo, Vitaly Kuznetsov, Scott Yang, Scott Yak, Hanna Mazzawi, Eugen Hotaj, Ghassen Jerfel, Vladimir Macko, Ben Adlam, Mehryar Mohri, Corinna Cortes

AdaNet is a lightweight TensorFlow-based (Abadi et al., 2015) framework for automatically learning high-quality ensembles with minimal expert intervention.

Neural Architecture Search

Improving Neural Architecture Search Image Classifiers via Ensemble Learning

1 code implementation14 Mar 2019 Vladimir Macko, Charles Weill, Hanna Mazzawi, Javier Gonzalvo

However, once a good building block is found, manual design is still required to assemble the final architecture as a combination of multiple blocks under a predefined parameter budget constraint.

Ranked #63 on Image Classification on CIFAR-100 (using extra training data)

Ensemble Learning Image Classification +2

Cannot find the paper you are looking for? You can Submit a new open access paper.