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Nov 21, 2019
Machine Learning
Computer Vision
Robotics

Third-Person Visual Imitation Learning via Decoupled Hierarchical C…

We study a generalized setup for learning from demonstration to build an agent that can manipulate novel objects in unseen scenarios by looking at on…
Nov 21, 2019
Machine Learning

Regularizing Neural Networks by Stochastically Training Layer Ensembl…

Dropout and similar stochastic neural network regularization methods are often interpreted as implicitly averaging over a large ensemble of models. W…
Nov 21, 2019
Programming Languages
Human-Computer Interaction

Visualization by Example

While visualizations play a crucial role in gaining insights from data, generating useful visualizations from a complex dataset is far from an easy t…
Nov 21, 2019
Computer Vision

Adversarial Examples Improve Image Recognition

Adversarial examples are commonly viewed as a threat to ConvNets. Here we present an opposite perspective: adversarial examples can be used to improv…
Nov 21, 2019
Machine Learning
Geophysics

Estimating uncertainty of earthquake rupture using Bayesian neural …

Bayesian neural networks (BNN) are the probabilistic model that combines the strengths of both neural network (NN) and stochastic processes. As a res…
Nov 21, 2019
Computer Vision

AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning

There is an increasing number of pre-trained deep neural network models. However, it is still unclear how to effectively use these models for a new t…
Nov 21, 2019
Computation and Language
Machine Learning
Sound
Audio and Speech Processing

Temporal Reasoning via Audio Question Answering

Multimodal question answering tasks can be used as proxy tasks to study systems that can perceive and reason about the world. Answering questions abo…
Nov 21, 2019
Computer Vision

Ocular Recognition Databases and Competitions: A Survey

The use of the iris and periocular region as biometric traits has been extensively investigated, mainly due to the singularity of the iris features a…
Nov 21, 2019
Sound
Computation and Language
Machine Learning
Audio and Speech Processing

Prosody Transfer in Neural Text to Speech Using Global Pitch and Lo…

This paper presents a simple yet effective method to achieve prosody transfer from a reference speech signal to synthesized speech. The main idea is …
Nov 21, 2019
Machine Learning
Neural and Evolutionary Computation

Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowma…

Deep networks have enabled reinforcement learning to scale to more complex and challenging domains, but these methods typically require large quantit…
Nov 21, 2019
Computer Vision

Synthesizing Visual Illusions Using Generative Adversarial Networks

Visual illusions are a very useful tool for vision scientists, because they allow them to better probe the limits, thresholds and errors of the visua…
Nov 21, 2019
Machine Learning
Artificial Intelligence

Vouw: Geometric Pattern Mining using the MDL Principle

We introduce geometric pattern mining, the problem of finding recurring local structure in raster-based data. It differs from other pattern mining pr…
Nov 21, 2019
Cryptography and Security
Machine Learning

The Performance of Machine and Deep Learning Classifiers in Detecting…

The detection of zero-day attacks and vulnerabilities is a challenging problem. It is of utmost importance for network administrators to identify the…
Nov 21, 2019
Robotics

Feedback Motion Planning for Long-Range Autonomous Underwater Vehicles

Ocean ecosystems have spatiotemporal variability and dynamic complexity that require a long-term deployment of an autonomous underwater vehicle for d…
Nov 21, 2019
Computer Vision

Knowledge Graph Transfer Network for Few-Shot Recognition

Few-shot learning aims to learn novel categories from very few samples given some base categories with sufficient training samples. The main challeng…
Nov 21, 2019
Computation and Language
Information Retrieval
Machine Learning

Automatically Generating Macro Research Reports from a Piece of News

Automatically generating macro research reports from economic news is an important yet challenging task. As we all know, it requires the macro analys…
Nov 21, 2019
Robotics

A Continuous Teleoperation Subspace with Empirical and Algorithmic …

Teleoperation is a valuable tool for robotic manipulators in highly unstructured environments. However, finding an intuitive mapping between a human …
Nov 21, 2019
Machine Learning
Neural and Evolutionary Computation

Memory-Efficient Episodic Control Reinforcement Learning with Dynamic…

Recently, neuro-inspired episodic control (EC) methods have been developed to overcome the data-inefficiency of standard deep reinforcement learning …
Nov 21, 2019
Computer Vision

All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting

Recently, end-to-end text spotting that aims to detect and recognize text from cluttered images simultaneously has received particularly growing inte…
Nov 21, 2019
Artificial Intelligence
Machine Learning

Neural Large Neighborhood Search for the Capacitated Vehicle Routing …

Learning how to automatically solve optimization problems has the potential to provide the next big leap in optimization technology. The performance …
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