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Nov 20, 2019
Machine Learning

Shapelets for earthquake detection

This paper introduces EQShapelets (EarthQuake Shapelets) a time-series shape-based approach embedded in machine learning to autonomously detect earth…
Nov 20, 2019
Computation and Language

Real-Time Emotion Recognition via Attention Gated Hierarchical Memory…

Real-time emotion recognition (RTER) in conversations is significant for developing emotionally intelligent chatting machines. Without the future con…
Nov 20, 2019
Computer Vision
Machine Learning

Search to Distill: Pearls are Everywhere but not the Eyes

Standard Knowledge Distillation (KD) approaches distill the knowledge of a cumbersome teacher model into the parameters of a student model with a pre…
Nov 20, 2019
Computer Vision
Machine Learning
Neurons and Cognition

Exploring the Origins and Prevalence of Texture Bias in Convolutional…

Recent work has indicated that, unlike humans, ImageNet-trained CNNs tend to classify images by texture rather than shape. How pervasive is this bias…
Nov 20, 2019
Computer Vision
Machine Learning
Image and Video Processing

EfficientDet: Scalable and Efficient Object Detection

Model efficiency has become increasingly important in computer vision. In this paper, we systematically study various neural network architecture des…
Nov 20, 2019
Computation
Machine Learning

Replication-based emulation of the response distribution of stochasti…

Due to limited computational power, performing uncertainty quantification analyses with complex computational models can be a challenging task. This …
Nov 20, 2019
Machine Learning

Challenges with Extreme Class-Imbalance and Temporal Coherence: A Stu…

In analyses of rare-events, regardless of the domain of application, class-imbalance issue is intrinsic. Although the challenges are known to data ex…
Nov 20, 2019
Computer Vision
Cryptography and Security
Machine Learning

Fine-grained Synthesis of Unrestricted Adversarial Examples

We propose a novel approach for generating unrestricted adversarial examples by manipulating fine-grained aspects of image generation. Unlike existin…
Nov 20, 2019
Robotics
Computer Vision

Robust Lane Marking Detection Algorithm Using Drivable Area Segmentat…

In this paper, a robust lane detection algorithm is proposed, where the vertical road profile of the road is estimated using dynamic programming from…
Nov 20, 2019
Computer Vision
Machine Learning

Utility Analysis of Network Architectures for 3D Point Cloud Processi…

In this paper, we diagnose deep neural networks for 3D point cloud processing to explore utilities of different network architectures. We propose a n…
Nov 20, 2019
Machine Learning
Computer Vision

Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-sho…

Generalized zero-shot learning (GZSL) tackles the problem of learning to classify instances involving both seen classes and unseen ones. The key issu…
Nov 20, 2019
Machine Learning
Quantitative Methods

A CNN-RNN Framework for Crop Yield Prediction

Crop yield prediction is extremely challenging due to its dependence on multiple factors such as crop genotype, environmental factors, management pra…
Nov 20, 2019
Computer Vision

Learning Cross-modal Context Graph for Visual Grounding

Visual grounding is a ubiquitous building block in many vision-language tasks and yet remains challenging due to large variations in visual and lingu…
Nov 20, 2019
Human-Computer Interaction
Digital Libraries

Talking datasets: Understanding data sensemaking behaviours

The sharing and reuse of data are seen as critical to solving the most complex problems of today. Despite this potential, relatively little is known …
Nov 20, 2019
Computer Vision
Machine Learning

3D-Rotation-Equivariant Quaternion Neural Networks

This paper proposes a set of rules to revise various neural networks for 3D point cloud processing to rotation-equivariant quaternion neural networks…
Nov 20, 2019
Machine Learning
Computer Vision

Exploiting Spatial Invariance for Scalable Unsupervised Object Tracki…

The ability to detect and track objects in the visual world is a crucial skill for any intelligent agent, as it is a necessary precursor to any objec…
Nov 20, 2019
Machine Learning
Distributed
Parallel
and Cluster Computing

Local AdaAlter: Communication-Efficient Stochastic Gradient Descent w…

Recent years have witnessed the growth of large-scale distributed machine learning algorithms -- specifically designed to accelerate model training b…
Nov 20, 2019
Machine Learning
Artificial Intelligence
Computer Vision

Towards a Unified Evaluation of Explanation Methods without Ground Tr…

This paper proposes a set of criteria to evaluate the objectiveness of explanation methods of neural networks, which is crucial for the development o…
Nov 20, 2019
Machine Learning

Bayesian interpretation of SGD as Ito process

The current interpretation of stochastic gradient descent (SGD) as a stochastic process lacks generality in that its numerical scheme restricts conti…
Nov 20, 2019
Computer Vision
Machine Learning
Image and Video Processing

Experimental Exploration of Compact Convolutional Neural Network Ar…

In this work we explore different Convolutional Neural Network (CNN) architectures and their variants for non-temporal binary fire detection and loca…
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