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Mar 30, 2020
Computer Vision
Machine Learning
Image and Video Processing

DHP: Differentiable Meta Pruning via HyperNetworks

Network pruning has been the driving force for the efficient inference of neural networks and the alleviation of model storage and transmission burde…
Mar 30, 2020
Computational Physics
Machine Learning

Detecting Symmetries with Neural Networks

Identifying symmetries in data sets is generally difficult, but knowledge about them is crucial for efficient data handling. Here we present a method…
Mar 30, 2020
Computer Vision
Machine Learning

Designing Network Design Spaces

In this work, we present a new network design paradigm. Our goal is to help advance the understanding of network design and discover design principle…
Mar 30, 2020
Machine Learning
Artificial Intelligence
Multiagent Systems

Deep reinforcement learning for large-scale epidemic control

Epidemics of infectious diseases are an important threat to public health and global economies. Yet, the development of prevention strategies remains…
Mar 30, 2020
Artificial Intelligence

Increasing negotiation performance at the edge of the network

Automated negotiation has been used in a variety of distributed settings, such as privacy in the Internet of Things (IoT) devices and power distribut…
Mar 30, 2020
Machine Learning

Revisiting "Over-smoothing" in Deep GCNs

Oversmoothing has been assumed to be the major cause of performance drop in deep graph convolutional networks (GCNs). The evidence is usually derived…
Mar 29, 2020
Databases
Machine Learning

A Comprehensive Benchmark Framework for Active Learning Methods in …

Entity Matching (EM) is a core data cleaning task, aiming to identify different mentions of the same real-world entity. Active learning is one way to…
Mar 29, 2020
Robotics

Scene-Aware Error Modeling of LiDAR/Visual Odometry for Fusion-based …

Localization is an essential technique in mobile robotics. In a complex environment, it is necessary to fuse different localization modules to obtain…
Mar 29, 2020
Machine Learning
Computer Vision

Proximity-Based Active Learning on Streaming Data: A Personalized Eat…

Detecting when eating occurs is an essential step toward automatic dietary monitoring, medication adherence assessment, and diet-related health inter…
Mar 29, 2020
Image and Video Processing
Computer Vision
Machine Learning

Unsupervised Deep Learning for MR Angiography with Flexible Temporal …

Time-resolved MR angiography (tMRA) has been widely used for dynamic contrast enhanced MRI (DCE-MRI) due to its highly accelerated acquisition. In tM…
Mar 29, 2020
Image and Video Processing
Computer Vision

High-Order Residual Network for Light Field Super-Resolution

Plenoptic cameras usually sacrifice the spatial resolution of their SAIs to acquire geometry information from different viewpoints. Several methods h…
Mar 29, 2020
Machine Learning

Are Direct Links Necessary in RVFL NNs for Regression?

A random vector functional link network (RVFL) is widely used as a universal approximator for classification and regression problems. The big advanta…
Mar 29, 2020
Computer Vision

Disturbance-immune Weight Sharing for Neural Architecture Search

Neural architecture search (NAS) has gained increasing attention in the community of architecture design. One of the key factors behind the success l…
Mar 29, 2020
Computer Vision

Generative Partial Multi-View Clustering

Nowadays, with the rapid development of data collection sources and feature extraction methods, multi-view data are getting easy to obtain and have r…
Mar 29, 2020
Artificial Intelligence

We introduce a parallel knowledge-transfer framework, PAT for decentralized multi-agent reinforcement learning. Our key idea is designing two acting mode for agents and using a shared attention mechanism to select behavior knowledge from other agent…

Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning

Multi-agent reinforcement learning is a standard framework for modeling multi-agent interactions applied in real-world scenarios. Inspired by experie…
Mar 29, 2020
Digital Libraries
Artificial Intelligence
Databases

Best Practices for Implementing FAIR Vocabularies and Ontologies on t…

With the adoption of Semantic Web technologies, an increasing number of vocabularies and ontologies have been developed in different domains, ranging…
Mar 29, 2020
Image and Video Processing
Computer Vision

Structure-Preserving Super Resolution with Gradient Guidance

Structures matter in single image super resolution (SISR). Recent studies benefiting from generative adversarial network (GAN) have promoted the deve…
Mar 29, 2020
Machine Learning

High-dimensional Neural Feature using Rectified Linear Unit and Rando…

We design a ReLU-based multilayer neural network to generate a rich high-dimensional feature vector. The feature guarantees a monotonically decreasin…
Mar 29, 2020
Computer Vision

Attentive CutMix: An Enhanced Data Augmentation Approach for Deep L…

Convolutional neural networks (CNN) are capable of learning robust representation with different regularization methods and activations as convolutio…
Mar 29, 2020
Computer Vision

Learning by Analogy: Reliable Supervision from Transformations for …

Unsupervised learning of optical flow, which leverages the supervision from view synthesis, has emerged as a promising alternative to supervised meth…
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