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End-to-end principle

Known as: End to end argument, End-to-end argument, End-to-end connection 
The end-to-end principle is a classic design principle in computer networking. In networks designed according to the principle, application-specific… 
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Papers overview

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Highly Cited
2018
Highly Cited
2018
We propose Convolutional Block Attention Module (CBAM), a simple yet effective attention module for feed-forward convolutional… 
Highly Cited
2016
Highly Cited
2016
Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end… 
Highly Cited
2015
Highly Cited
2015
There is large consent that successful training of deep networks requires many thousand annotated training samples. In this paper… 
Highly Cited
2015
Highly Cited
2015
We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection… 
Highly Cited
2015
Highly Cited
2015
We adapt the ideas underlying the success of Deep Q-Learning to the continuous action domain. We present an actor-critic, model… 
Highly Cited
2014
Highly Cited
2014
Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although… 
Highly Cited
2013
Highly Cited
2013
Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist… 
Highly Cited
2002
Highly Cited
2002
TCP Westwood (TCPW) is a sender-side modification of the TCP congestion window algorithm that improves upon the performance of… 
Highly Cited
2000
Highly Cited
2000
We present the design and implementation of an end-to-end architecture for Internet host mobility using dynamic updates to the… 
Highly Cited
1984
Highly Cited
1984
This paper presents a design principle that helps guide placement of functions among the modules of a distributed computer system…