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45
research
∙ 09/29/2022

Multiple Modes for Continual Learning

Adapting model parameters to incoming streams of data is a crucial facto...
Siddhartha Datta, et al. ∙
64
research
∙ 09/28/2022

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

Most Graph Neural Networks (GNNs) predict the labels of unseen graphs by...
Shaohua Fan, et al. ∙
tools

Zendo - production grade software for object detection and segmentation

Zendo is DeepAI's computer vision stack: easy-to-use object detection and segmentation. It is designed for production environments and is optimized for speed and accuracy on a small number of training images.
37
research
∙ 09/29/2022

Bridging the Gap to Real-World Object-Centric Learning

Humans naturally decompose their environment into entities at the approp...
Maximilian Seitzer, et al. ∙
32
research
∙ 09/29/2022

GDIP: Gated Differentiable Image Processing for Object-Detection in Adverse Conditions

Detecting objects under adverse weather and lighting conditions is cruci...
Sanket Kalwar, et al. ∙
33
research
∙ 09/29/2022

Model Zoos: A Dataset of Diverse Populations of Neural Network Models

In the last years, neural networks (NN) have evolved from laboratory env...
Konstantin Schürholt, et al. ∙

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