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23
research
∙ 05/17/2022

Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility

This article studies the infinite-width limit of deep feedforward neural...
Hoil Lee, et al. ∙
10
research
∙ 05/17/2022

A psychological theory of explainability

The goal of explainable Artificial Intelligence (XAI) is to generate hum...
Scott Cheng-Hsin Yang, et al. ∙
34
research
∙ 05/16/2022

Optimizing the optimizer for data driven deep neural networks and physics informed neural networks

We investigate the role of the optimizer in determining the quality of t...
John Taylor, et al. ∙
31
research
∙ 05/16/2022

Diffusion Models for Adversarial Purification

Adversarial purification refers to a class of defense methods that remov...
Weili Nie, et al. ∙
30
research
∙ 05/15/2022

Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning

Hybrid storage systems (HSS) use multiple different storage devices to p...
Gagandeep Singh, et al. ∙
6
research
∙ 05/17/2022

A CLIP-Hitchhiker's Guide to Long Video Retrieval

Our goal in this paper is the adaptation of image-text models for long v...
Max Bain, et al. ∙

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