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Mar 31, 2020
Artificial Intelligence

State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Pu…

Peer review forms the backbone of modern scientific manuscript evaluation. But after two hundred and eighty-nine years of egalitarian service to the …
Mar 31, 2020
Computer Vision
Artificial Intelligence
Machine Learning
Robotics

Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation

We describe a method for 3D human pose estimation from transient images (i.e., a 3D spatio-temporal histogram of photons) acquired by an optical non-…
Mar 31, 2020
Computer Vision

Probabilistic Pixel-Adaptive Refinement Networks

Encoder-decoder networks have found widespread use in various dense prediction tasks. However, the strong reduction of spatial resolution in the enco…
Mar 31, 2020
Computation and Language

Low Resource Neural Machine Translation: A Benchmark for Five African…

Recent advents in Neural Machine Translation (NMT) have shown improvements in low-resource language (LRL) translation tasks. In this work, we benchma…
Mar 31, 2020
Computer Vision

TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting

We present a lightweight video motion retargeting approach TransMoMo that is capable of transferring motion of a person in a source video realistical…
Mar 31, 2020
Machine Learning
Robotics

Robotic Table Tennis with Model-Free Reinforcement Learning

We propose a model-free algorithm for learning efficient policies capable of returning table tennis balls by controlling robot joints at a rate of 10…
Mar 31, 2020
Robotics
Systems and Control

TRON: A Fast Solver for Trajectory Optimization with Non-Smooth Cost …

Trajectory optimization is an important tool for control and planning of complex, underactuated robots, and has shown impressive results in real worl…
Mar 31, 2020
Human-Computer Interaction
Robotics

Multimodal Interfaces for Effective Teleoperation

Research in multi-modal interfaces aims to provide solutions to immersion and increase overall human performance. A promising direction is combining …
Mar 31, 2020
Software Engineering
Machine Learning

On the Need of Removing Last Releases of Data When Using or Validatin…

To develop and train defect prediction models, researchers rely on datasets in which a defect is attributed to an artifact, e.g., a class of a given …
Mar 31, 2020
Robotics

Enabling Topological Planning with Monocular Vision

Topological strategies for navigation meaningfully reduce the space of possible actions available to a robot, allowing use of heuristic priors or lea…
Mar 31, 2020
Multiagent Systems
Machine Learning
Signal Processing
Optimization and Control

Second-Order Guarantees in Centralized, Federated and Decentralized …

Rapid advances in data collection and processing capabilities have allowed for the use of increasingly complex models that give rise to nonconvex opt…
Mar 31, 2020
Fluid Dynamics
Machine Learning
Systems and Control

Controlling Rayleigh-Bénard convection via Reinforcement Learning

Thermal convection is ubiquitous in nature as well as in many industrial applications. The identification of effective control strategies to, e.g., s…
Mar 31, 2020
Computer Vision
Machine Learning

There has been extensive research on data augmentation for computer vision tasks. As mentioned earlier, traditional data augmentation methods require manual design and are usually dataset/domain dependent. For example random flip, and color distorti…

UniformAugment: A Search-free Probabilistic Data Augmentation Approach

Augmenting training datasets has been shown to improve the learning effectiveness for several computer vision tasks. A good augmentation produces an …
Mar 31, 2020
Artificial Intelligence
Information Theory
Logic

Artificial chemistry experiments with chemlambda, lambda calculus, …

Given a graph rewrite system, a graph G is a quine graph if it has a non-void maximal collection of non-conflicting matches of left patterns of graph…
Mar 31, 2020
Computation and Language
Artificial Intelligence

On the Integration of LinguisticFeatures into Statistical and Neural …

New machine translations (MT) technologies are emerging rapidly and with them, bold claims of achieving human parity such as: (i) the results produce…
Mar 31, 2020
Computer Vision
Machine Learning

How Useful is Self-Supervised Pretraining for Visual Tasks?

Recent advances have spurred incredible progress in self-supervised pretraining for vision. We investigate what factors may play a role in the utilit…
Mar 31, 2020
Machine Learning
Computer Vision

Learning from Small Data Through Sampling an Implicit Conditional G…

We revisit the long-standing problem of \emph{learning from small sample}. In recent years major efforts have been invested into the generation of ne…
Mar 31, 2020
Human-Computer Interaction

Baba is Y'all: Collaborative Mixed-Initiative Level Design

We present a collaborative mixed-initiative system for building levels for the puzzle game "Baba is You''. Unlike previous mixed-initiative systems, …
Mar 31, 2020
Computation and Language

Graph Enhanced Representation Learning for News Recommendation

With the explosion of online news, personalized news recommendation becomes increasingly important for online news platforms to help their users find…
Mar 31, 2020
Image and Video Processing
Computer Vision

Radiologist-level stroke classification on non-contrast CT scans with…

Segmentation of ischemic stroke and intracranial hemorrhage on computed tomography is essential for investigation and treatment of stroke. In this pa…
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