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Nov 12, 2018
By zeyuan
Machine Learning
Data Structures and Algorithms
Neural and Evolutionary Computation
Optimization and Control

This paper shows that using an overparameterized neural network as an improper learner for some simpler hypothesis class might not be difficult. Especially, using an overparameterized two/three-layer neural network with ReLU activations as an impr...

Learning and Generalization in Overparameterized Neural Networks, G...

Neural networks have great success in many machine learning applications, but the fundamental learning theory behind them remains largely unsolved....
Nov 12, 2018
Machine Learning

Boosting Model Performance through Differentially Private Model A...

A key factor in developing high performing machine learning models is the availability of sufficiently large datasets. This work is motivated by ap...
Nov 12, 2018
Computer Vision
Machine Learning

Deep Learning versus Classical Regression for Brain Tumor Patient ...

Deep learning for regression tasks on medical imaging data has shown promising results. However, compared to other approaches, their power is stron...
Nov 12, 2018
Computation and Language
Sound
Audio and Speech Processing

Stream attention-based multi-array end-to-end speech recognition

Automatic Speech Recognition (ASR) using multiple microphone arrays has achieved great success in the far-field robustness. Taking advantage of all...
Nov 12, 2018
Computation and Language

Multi-encoder multi-resolution framework for end-to-end speech re...

Attention-based methods and Connectionist Temporal Classification (CTC) network have been promising research directions for end-to-end Automatic Sp...
Nov 12, 2018
Artificial Intelligence

TED: Teaching AI to Explain its Decisions

Artificial intelligence systems are being increasingly deployed due to their potential to increase the efficiency, scale, consistency, fairness, an...
Nov 12, 2018
By pmlaw
Social and Information Networks
Human-Computer Interaction

Segue: Overviewing Evolution Patterns of Egocentric Networks by I...

Getting the overall picture of how a large number of ego-networks evolve is a common yet challenging task. Existing techniques often require analys...
Nov 12, 2018
Computer Vision

Focusing on the Big Picture: Insights into a Systems Approach to De...

Deep learning tasks are often complicated and require a variety of components working together efficiently to perform well. Due to the often large ...
Nov 12, 2018
Machine Learning
Computation and Language

When doWords Matter? Understanding the Impact of Lexical Choice on ...

Studies across many disciplines have shown that lexical choice can affect audience perception. For example, how users describe themselves in a soci...
Nov 12, 2018
Computation and Language

CQASUMM: Building References for Community Question Answering Sum...

Community Question Answering forums such as Quora, Stackoverflow are rich knowledge resources, often catering to information on topics overlooked b...
Nov 12, 2018
By saakur
Computer Vision

Temporal segmentation of long videos is an important problem, that has largely been tackled through supervised learning, often requiring large amounts of annotated training data. In this paper, we tackle the problem of self-supervised temporal seg...

A Perceptual Prediction Framework for Self Supervised Event Segment...

Temporal segmentation of long videos is an important problem, that has largely been tackled through supervised learning, often requiring large amou...
Nov 12, 2018
Computer Vision

A Framework of Transfer Learning in Object Detection for Embedded ...

Transfer learning is one of the subjects undergoing intense study in the area of machine learning. In object recognition and object detection there...
Nov 12, 2018
Artificial Intelligence
Computation and Language
Information Retrieval

Bio-YODIE: A Named Entity Linking System for Biomedical Text

Ever-expanding volumes of biomedical text require automated semantic annotation techniques to curate and put to best use. An established field of r...
Nov 12, 2018
Computer Vision

Generative Dual Adversarial Network for Generalized Zero-shot Learning

This paper studies the problem of generalized zero-shot learning which requires the model to train on image-label pairs from some seen classes and ...
Nov 12, 2018
Artificial Intelligence

In this article we have built considerations on how to close the gap between laboratory experimentation and medical practice on using classification learning for clinical diagnosis and therapy advice, with a specific focus on oncology.

On the practice of classification learning for clinical diagnosis a...

Artificial intelligence and medicine have a longstanding and proficuous relationship. In the present work we develop a brief assessment of this rel...
Nov 12, 2018
Data Structures and Algorithms
Information Retrieval
Machine Learning

Quantum-inspired sublinear classical algorithms for solving low-ran...

We present classical sublinear-time algorithms for solving low-rank linear systems of equations. Our algorithms are inspired by the HHL quantum alg...
Nov 12, 2018
Strongly Correlated Electrons

Site selective spin and orbital excitations in Fe3O4

$Fe_3O_4$ is a mixed-valence strongly correlated transition metal oxide which displays the intriguing metal to insulator Verwey transition. Here we...
Nov 12, 2018
Robotics

SLAM-Assisted Coverage Path Planning for Indoor LiDAR Mapping Systems

Applications involving autonomous navigation and planning of mobile agents can benefit greatly by employing online Simultaneous Localization and Ma...
Nov 12, 2018
Machine Learning

Learning From Positive and Unlabeled Data: A Survey

Learning from positive and unlabeled data or PU learning is the setting where a learner only has access to positive examples and unlabeled data. Th...
Nov 12, 2018
By pedram
Atmospheric and Oceanic Physics
Computer Vision
Machine Learning

A test case for application of convolutional neural networks to s...

Convolutional neural networks (CNNs) can potentially provide powerful tools for classifying and identifying patterns in climate and environmental d...
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