349 citations · 423 across the 10 of their papers we have counts for
11 papers
Morse Neural Networks for Uncertainty Quantification
Benoit Dherin, Huiyi Hu, Jie Ren +2
We introduce a new deep generative model useful for uncertainty quantification: the Morse neural network, which generalizes the unnormalized Gaussian densities to have modes of hig…
Mutimodal Ranking Optimization for Heterogeneous Face Re-identification
Hui Hu, Jiawei Zhang, Zhen Han
Heterogeneous face re-identification, namely matching heterogeneous faces across disjoint visible light (VIS) and near-infrared (NIR) cameras, has become an important problem in vi…
Plex: Towards Reliability using Pretrained Large Model Extensions
Dustin Tran, Jeremiah Liu, Michael W. Dusenberry +23
A recent trend in artificial intelligence is the use of pretrained models for language and vision tasks, which have achieved extraordinary performance but also puzzling failures. P…
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…
An Incremental Reseeding Strategy for Clustering
Xavier Bresson, Huiyi Hu, Thomas Laurent +2
In this work we propose a simple and easily parallelizable algorithm for multiway graph partitioning. The algorithm alternates between three basic components: diffusing seed vertic…
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…
Multislice Modularity Optimization in Community Detection and Image Segmentation
Huiyi Hu, Yves van Gennip, Blake Hunter +2
Because networks can be used to represent many complex systems, they have attracted considerable attention in physics, computer science, sociology, and many other disciplines. One…
Geosocial Graph-Based Community Detection
Yves van Gennip, Huiyi Hu, Blake Hunter +1
We apply spectral clustering and multislice modularity optimization to a Los Angeles Police Department field interview card data set. To detect communities (i.e., cohesive groups o…