Search Results for author: Huiyi Hu

Found 11 papers, 4 papers with code

Morse Neural Networks for Uncertainty Quantification

no code implementations2 Jul 2023 Benoit Dherin, Huiyi Hu, Jie Ren, Michael W. Dusenberry, Balaji Lakshminarayanan

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 high-dimensional submanifolds instead of just discrete points.

Anomaly Detection One-class classifier +1

Information-theoretic Online Memory Selection for Continual Learning

no code implementations ICLR 2022 Shengyang Sun, Daniele Calandriello, Huiyi Hu, Ang Li, Michalis Titsias

A challenging problem in task-free continual learning is the online selection of a representative replay memory from data streams.

Continual Learning

One Pass ImageNet

no code implementations NeurIPS Workshop ImageNet_PPF 2021 Huiyi Hu, Ang Li, Daniele Calandriello, Dilan Gorur

We present the One Pass ImageNet (OPIN) problem, which aims to study the effectiveness of deep learning in a streaming setting.

Continual Learning

Wide Neural Networks Forget Less Catastrophically

no code implementations21 Oct 2021 Seyed Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Huiyi Hu, Razvan Pascanu, Dilan Gorur, Mehrdad Farajtabar

A primary focus area in continual learning research is alleviating the "catastrophic forgetting" problem in neural networks by designing new algorithms that are more robust to the distribution shifts.

Continual Learning

Task-agnostic Continual Learning with Hybrid Probabilistic Models

no code implementations ICML Workshop INNF 2021 Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu

Learning new tasks continuously without forgetting on a constantly changing data distribution is essential for real-world problems but extremely challenging for modern deep learning.

Anomaly Detection Continual Learning +1

Deep Ensembles: A Loss Landscape Perspective

1 code implementation5 Dec 2019 Stanislav Fort, Huiyi Hu, Balaji Lakshminarayanan

One possible explanation for this gap between theory and practice is that popular scalable variational Bayesian methods tend to focus on a single mode, whereas deep ensembles tend to explore diverse modes in function space.

Cross-View Policy Learning for Street Navigation

1 code implementation ICCV 2019 Ang Li, Huiyi Hu, Piotr Mirowski, Mehrdad Farajtabar

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).

Navigate Reinforcement Learning (RL) +1

Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems

no code implementations24 Jul 2018 Timothy A. Mann, Sven Gowal, András György, Ray Jiang, Huiyi Hu, Balaji Lakshminarayanan, Prav Srinivasan

Predicting delayed outcomes is an important problem in recommender systems (e. g., if customers will finish reading an ebook).

Recommendation Systems

End-to-End Interpretation of the French Street Name Signs Dataset

4 code implementations13 Feb 2017 Raymond Smith, Chunhui Gu, Dar-Shyang Lee, Huiyi Hu, Ranjith Unnikrishnan, Julian Ibarz, Sacha Arnoud, Sophia Lin

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.

Optical Character Recognition (OCR)

An Incremental Reseeding Strategy for Clustering

no code implementations15 Jun 2014 Xavier Bresson, Huiyi Hu, Thomas Laurent, Arthur Szlam, James Von Brecht

In this work we propose a simple and easily parallelizable algorithm for multiway graph partitioning.

Clustering graph partitioning

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