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Aug 16, 2018
Neural and Evolutionary Computation
Data Structures and Algorithms

We have precisely analyzed the optimal strategies for the hidden subset problem for the scheduled and the adaptive setup. Both are asymptotically faster than the best strategy for the static setup. For the adaptive setup, the unknown n does not in...

The linear hidden subset problem for the (1+1) EA with scheduled an...

We study unbiased $(1+1)$ evolutionary algorithms on linear functions with an unknown number $n$ of bits with non-zero weight. Static algorithms ac...
Aug 16, 2018
Computation and Language

Learning Graph Embeddings from WordNet-based Similarity Measures

We present a new approach for learning graph embeddings, that relies on structural measures of node similarities for generation of training data. T...
Aug 16, 2018
Computation and Language

Improving Conditional Sequence Generative Adversarial Networks by ...

Sequence generative adversarial networks (SeqGAN) have been used to improve conditional sequence generation tasks, for example, chit-chat dialogue ...
Aug 16, 2018
By maguire
Robotics

Toward an Expressive Bipedal Robot: Variable Gait Synthesis and V...

Humans are efficient, yet expressive in their motion. Human walking behaviors can be used to walk across a great variety of surfaces without fallin...
Aug 16, 2018
By ag919
Machine Learning

Deep Convolutional Networks as shallow Gaussian Processes

We show that the output of a (residual) convolutional neural network (CNN) with an appropriate prior over the weights and biases is a Gaussian proc...
Aug 16, 2018
Machine Learning
Computational Complexity

LARNN: Linear Attention Recurrent Neural Network

The Linear Attention Recurrent Neural Network (LARNN) is a recurrent attention module derived from the Long Short-Term Memory (LSTM) cell and ideas...
Aug 16, 2018
Computer Vision
Artificial Intelligence
Machine Learning
Neurons and Cognition

Deeper Image Quality Transfer: Training Low-Memory Neural Networks ...

In this paper we address the memory demands that come with the processing of 3-dimensional, high-resolution, multi-channeled medical images in deep...
Aug 16, 2018
By albanie
Computer Vision

Emotion Recognition in Speech using Cross-Modal Transfer in the Wild

Obtaining large, human labelled speech datasets to train models for emotion recognition is a notoriously challenging task, hindered by annotation c...
Aug 16, 2018
Computer Vision

R$^3$-Net: A Deep Network for Multi-oriented Vehicle Detection in A...

Vehicle detection is a significant and challenging task in aerial remote sensing applications. Most existing methods detect vehicles with regular r...
Aug 16, 2018
Information Retrieval
Human-Computer Interaction
Software Engineering

The DALPHI annotation framework & how its pre-annotations can impro...

Producing the required amounts of training data for machine learning and NLP tasks often involves human annotators doing very repetitive and monoto...
Aug 16, 2018

Decomposing blazar spectra into lepto-hadronic emission components

Recently reported coincidences between high-energy neutrino events and major blazar outbursts reinforce the relevance of lepto-hadronic emission mo...
Aug 16, 2018
Machine Learning
Cryptography and Security

Distributionally Adversarial Attack

Recent work on adversarial attack has shown that Projected Gradient Descent (PGD) Adversary is a universal first-order adversary, and the classifie...
Aug 16, 2018
By rodr
Machine Learning
Computation and Language

Combining time-series and textual data for taxi demand prediction i...

Accurate time-series forecasting is vital for numerous areas of application such as transportation, energy, finance, economics, etc. However, while...
Aug 16, 2018
Machine Learning
Statistical Finance

Deep Learning for Energy Markets

Deep Learning (DL) provides a methodology to predict extreme loads observed in energy grids. Forecasting energy loads and prices is challenging due...
Aug 16, 2018
By bylu
Computer Vision

An Experimental Evaluation of Covariates Effects on Unconstrained F...

Covariates are factors that have a debilitating influence on face verification performance. In this paper, we comprehensively study two covariate r...
Aug 16, 2018
Computer Vision
Machine Learning

Robust training of recurrent neural networks to handle missing data...

Disease progression modeling (DPM) using longitudinal data is a challenging task in machine learning for healthcare that can provide clinicians wit...
Aug 16, 2018
By zhengm3
Computer Vision

Measuring the Temporal Behavior of Real-World Person Re-Identification

Designing real-world person re-identification (re-id) systems requires attention to operational aspects not typically considered in academic resear...
Aug 16, 2018
Computer Vision

Occlusion Resistant Object Rotation Regression from Point Cloud Seg...

Rotation estimation of known rigid objects is important for robotic applications such as dexterous manipulation. Most existing methods for rotation...
Aug 16, 2018
By mmasana
Computer Vision

Metric Learning for Novelty and Anomaly Detection

When neural networks process images which do not resemble the distribution seen during training, so called out-of-distribution images, they often m...
Aug 16, 2018
Machine Learning
Robotics

Transfer Learning and Organic Computing for Autonomous Vehicles

Autonomous Vehicles(AV) are one of the brightest promises of the future which would help cut down fatalities and improve travel time while working ...
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