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Aug 21, 2019
Computer Vision
Distributed
Parallel
and Cluster Computing

MobiSR: Efficient On-Device Super-Resolution through Heterogeneous …

In recent years, convolutional networks have demonstrated unprecedented performance in the image restoration task of super-resolution (SR). SR entail…
Aug 21, 2019
By mha241
Computer Vision

DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking

Visual object tracking is a fundamental task in the field of computer vision. Recently, Siamese trackers have achieved state-of-the-art performance o…
Aug 21, 2019
Machine Learning
Image and Video Processing

Representation Disentanglement for Multi-task Learning with applicati…

One of the biggest challenges for deep learning algorithms in medical image analysis is the indiscriminate mixing of image properties, e.g. artifacts…
Aug 21, 2019
By tianli
Machine Learning
Distributed
Parallel
and Cluster Computing

Federated Learning: Challenges, Methods, and Future Directions

Federated learning involves training statistical models over remote devices or siloed data centers, such as mobile phones or hospitals, while keeping…
Aug 21, 2019
Computation and Language

In this work, we introduced WikiCREM, a large dataset of training instances for pronoun resolution. We use our dataset to fine-tune the Bert language model. Our results match or outperform state-of-the-art models on 6 out of 7 evaluated datasets.

WikiCREM: A Large Unsupervised Corpus for Coreference Resolution

Pronoun resolution is a major area of natural language understanding. However, large-scale training sets are still scarce, since manually labelling d…
Aug 21, 2019
Machine Learning
Computational Finance

This article proposed a one-dimensional convolutional neural network architecture for quantile regression. The model takes as input a series of observations, and directly makes one-step ahead forecasts for arbitrary quantiles. It is essentially a co…

QCNN: Quantile Convolutional Neural Network

A dilated causal one-dimensional convolutional neural network architecture is proposed for quantile regression. The model can forecast any arbitrary …
Aug 21, 2019
Applications
Machine Learning

Importance of spatial predictor variable selection in machine learnin…

Machine learning algorithms find frequent application in spatial prediction of biotic and abiotic environmental variables. However, the characteristi…
Aug 21, 2019
By fhaoshu
Computer Vision

InstaBoost: Boosting Instance Segmentation via Probability Map Guided…

Instance segmentation requires a large number of training samples to achieve satisfactory performance and benefits from proper data augmentation. To …
Aug 21, 2019
Artificial Intelligence

Technical Report on Implementing Ranking-Based Semantics in ConArg

ConArg is a suite of tools that offers a wide series of applications for dealing with argumentation problems. In this work, we present the advances w…
Aug 21, 2019
Computation and Language

Predict Emoji Combination with Retrieval Strategy

As emojis are widely used in social media, people not only use an emoji to express their emotions or mention things but also extend its usage to repr…
Aug 21, 2019
Computer Vision
Sound
Audio and Speech Processing
Image and Video Processing

A Realistic Face-to-Face Conversation System based on Deep Neural N…

To improve the experiences of face-to-face conversation with avatar, this paper presents a novel conversation system. It is composed of two sequence-…
Aug 21, 2019
Computer Vision

RBCN: Rectified Binary Convolutional Networks for Enhancing the Per…

Binarized convolutional neural networks (BCNNs) are widely used to improve memory and computation efficiency of deep convolutional neural networks (D…
Aug 21, 2019
Image and Video Processing
Computer Vision

Automated Multi-sequence Cardiac MRI Segmentation Using Supervised …

Left ventricle segmentation and morphological assessment are essential for improving diagnosis and our understanding of cardiomyopathy, which in turn…
Aug 21, 2019
Computation and Language
Machine Learning

Restricted Recurrent Neural Networks

Recurrent Neural Network (RNN) and its variations such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), have become standard building…
Aug 21, 2019
By srojeh
Databases
Machine Learning

Improved Cardinality Estimation by Learning Queries Containment Rates

The containment rate of query Q1 in query Q2 over database D is the percentage of Q1's result tuples over D that are also in Q2's result over D. We d…
Aug 21, 2019
Computation and Language

Latent Relation Language Models

In this paper, we propose Latent Relation Language Models (LRLMs), a class of language models that parameterizes the joint distribution over the word…
Aug 21, 2019
Machine Learning
Cryptography and Security

AdaCliP: Adaptive Clipping for Private SGD

Privacy preserving machine learning algorithms are crucial for learning models over user data to protect sensitive information. Motivated by this, di…
Aug 21, 2019
Image and Video Processing
Computer Vision

Joint Motion Estimation and Segmentation from Undersampled Cardiac MR…

Accelerating the acquisition of magnetic resonance imaging (MRI) is a challenging problem, and many works have been proposed to reconstruct images fr…
Aug 21, 2019
Computer Vision

In this paper, we explore a new semantic lesions representation transfer model for weakly-supervised endoscopic lesions segmentation. More specifically, a pseudo pixel label generator is presented to progressively mine more samples from target data …

Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentati…

Weakly-supervised learning under image-level labels supervision has been widely applied to semantic segmentation of medical lesions regions. However,…
Aug 21, 2019
By 2ayhant
Signal Processing
Machine Learning

Detecting Gas Vapor Leaks Using Uncalibrated Sensors

Chemical and infra-red sensors generate distinct responses under similar conditions because of sensor drift, noise or resolution errors. In this work…
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