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Dec 06, 2019
Artificial Intelligence

Making Smart Homes Smarter: Optimizing Energy Consumption with Human …

Rapid advancements in the Internet of Things (IoT) have facilitated more efficient deployment of smart environment solutions for specific user requir…
Dec 06, 2019
Machine Learning

A quantum active learning algorithm for sampling against adversarial …

Adversarial attacks represent a serious menace for learning algorithms and may compromise the security of future autonomous systems. A theorem by Kho…
Dec 06, 2019
Image and Video Processing
Computer Vision
Machine Learning

Recent advances in deep learning applied to skin cancer detection

Skin cancer is a major public health problem around the world. Its early detection is very important to increase patient prognostics. However, the la…
Dec 06, 2019
Machine Learning
Artificial Intelligence

Preserving Causal Constraints in Counterfactual Explanations for Mach…

Explaining the output of a complex machine learning (ML) model often requires approximation using a simpler model. To construct interpretable explana…
Dec 06, 2019
Machine Learning
Computer Vision

Your Classifier is Secretly an Energy Based Model and You Should Trea…

We propose to reinterpret a standard discriminative classifier of p(y|x) as an energy based model for the joint distribution p(x,y). In this setting,…
Dec 06, 2019
Machine Learning
Cryptography and Security

Differentially Private Mixed-Type Data Generation For Unsupervised …

In this work we introduce the DP-auto-GAN framework for synthetic data generation, which combines the low dimensional representation of autoencoders …
Dec 06, 2019
Machine Learning

VALAN: Vision and Language Agent Navigation

VALAN is a lightweight and scalable software framework for deep reinforcement learning based on the SEED RL architecture. The framework facilitates t…
Dec 06, 2019
Machine Learning
Computation and Language

What Do You Mean I'm Funny? Personalizing the Joke Skill of a Voice…

A considerable part of the success experienced by Voice-controlled virtual assistants (VVA) is due to the emotional and personalized experience they …
Dec 06, 2019
Computation and Language
Machine Learning

A limited-size ensemble of homogeneous CNN/LSTMs for high-performance…

In recent years, long short-term memory neural networks (LSTMs) have been applied quite successfully to problems in handwritten text recognition. How…
Dec 06, 2019
Machine Learning
Computer Vision

Tree bark re-identification using a deep-learning feature descriptor

The ability to visually re-identify objects is a fundamental capability in vision systems. Oftentimes, it relies on collections of visual signatures …
Dec 06, 2019
Computer Vision
Graphics
Machine Learning

NASA: Neural Articulated Shape Approximation

Efficient representation of articulated objects such as human bodies is an important problem in computer vision and graphics. To efficiently simulate…
Dec 06, 2019
Computer Vision

Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference

Modern convolutional neural networks apply the same operations on every pixel in an image. However, not all image regions are equally important. To a…
Dec 06, 2019
Machine Learning
Computer Vision
Neural and Evolutionary Computation

A Neural Spiking Approach Compared to Deep Feedforward Networks on …

In real world scenarios, objects are often partially occluded. This requires a robustness for object recognition against these perturbations. Convolu…
Dec 06, 2019
Optimization and Control
Machine Learning

Why ADAM Beats SGD for Attention Models

While stochastic gradient descent (SGD) is still the de facto algorithm in deep learning, adaptive methods like Adam have been observed to outperform…
Dec 06, 2019
Machine Learning
Optimization and Control

Risk-Averse Trust Region Optimization for Reward-Volatility Reduction

In real-world decision-making problems, for instance in the fields of finance, robotics or autonomous driving, keeping uncertainty under control is a…
Dec 06, 2019
Machine Learning
Computer Vision

Achieving Robustness in the Wild via Adversarial Mixing with Disent…

Recent research has made the surprising finding that state-of-the-art deep learning models sometimes fail to generalize to small variations of the in…
Dec 06, 2019
Computation and Language
Artificial Intelligence
Information Retrieval

GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions,…

Most research on emotion analysis from text focuses on the task of emotion classification or emotion intensity regression. Fewer works address emotio…
Dec 06, 2019
Computer Vision

Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic …

We propose a new efficient architecture for semantic segmentation, based on a "Waterfall" Atrous Spatial Pooling architecture, that achieves a consid…
Dec 06, 2019
Computer Vision

Controlling Style and Semantics in Weakly-Supervised Image Generation

We propose a weakly-supervised approach for conditional image generation of complex scenes where a user has fine control over objects appearing in th…
Dec 06, 2019
Computer Vision

300 GHz Radar Object Recognition based on Deep Neural Networks and …

For high resolution scene mapping and object recognition, optical technologies such as cameras and LiDAR are the sensors of choice. However, for robu…
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