4 citations · 5 across the 2 of their papers we have counts for
5 papers
Deep Ensembles: A Loss Landscape Perspective
Stanislav Fort, Huiyi Hu, Balaji Lakshminarayanan
Deep ensembles have been empirically shown to be a promising approach for improving accuracy, uncertainty and out-of-distribution robustness of deep learning models. While deep ens…
Cross-View Policy Learning for Street Navigation
Ang Li, Huiyi Hu, Piotr Mirowski +1
The ability to navigate from visual observations in unfamiliar environments is a core component of intelligent agents and an ongoing challenge for Deep Reinforcement Learning (RL).…
Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems
Timothy A. Mann, Sven Gowal, András György +4
Predicting delayed outcomes is an important problem in recommender systems (e.g., if customers will finish reading an ebook). We formalize the problem as an adversarial, delayed on…
End-to-End Interpretation of the French Street Name Signs Dataset
Raymond Smith, Chunhui Gu, Dar-Shyang Lee +5
We introduce the French Street Name Signs (FSNS) Dataset consisting of more than a million images of street name signs cropped from Google Street View images of France. Each image…
A Method Based on Total Variation for Network Modularity Optimization using the MBO Scheme
Huiyi Hu, Thomas Laurent, Mason A. Porter +1
The study of network structure is pervasive in sociology, biology, computer science, and many other disciplines. One of the most important areas of network science is the algorithm…