Home      Discussions      About
Join us
Latest Conferences Trending
VISION
LANGUAGE
SOUND
ROBOTICS
OPTICS
GENOMICS
Sep 16, 2019
Robotics
Artificial Intelligence
Machine Learning

Control Synthesis from Linear Temporal Logic Specifications using M…

We present a reinforcement learning (RL) framework to synthesize a control policy from a given linear temporal logic (LTL) specification in an unknow…
Sep 16, 2019
By 7D
Machine Learning

Deep Reinforcement Learning for Task-driven Discovery of Incomplete …

Complex networks are often either too large for full exploration, partially accessible or partially observed. Downstream learning tasks on incomplete…
Sep 16, 2019
Human-Computer Interaction

Discovering the Sweet Spot of Human-Computer Configurations: A Case …

Interactive intelligent systems, i.e., interactive systems that employ AI technologies, are currently present in many parts of our social, public and…
Sep 16, 2019
By qid
Computer Vision

Learning Spatial Awareness to Improve Crowd Counting

The aim of crowd counting is to estimate the number of people in images by leveraging the annotation of center positions for pedestrians' heads. Prom…
Sep 16, 2019
Computer Vision

Unsupervised Eyeglasses Removal in the Wild

Eyeglasses removal is challenging in removing different kinds of eyeglasses, e.g., rimless glasses, full-rim glasses and sunglasses, and recovering a…
Sep 15, 2019
Computer Vision
Machine Learning

Scaling Object Detection by Transferring Classification Weights

Large scale object detection datasets are constantly increasing their size in terms of the number of classes and annotations count. Yet, the number o…
Sep 15, 2019
By xtingli
Machine Learning
Computational Physics

Machine Discovery of Partial Differential Equations from Spatiotempor…

The study presents a general framework for discovering underlying Partial Differential Equations (PDEs) using measured spatiotemporal data. The metho…
Sep 14, 2019
Audio and Speech Processing
Computation and Language
Machine Learning
Sound

Bootstrapping non-parallel voice conversion from speaker-adaptive t…

Voice conversion (VC) and text-to-speech (TTS) are two tasks that share a similar objective, generating speech with a target voice. However, they are…
Sep 14, 2019
Robotics
Human-Computer Interaction
Machine Learning

Towards Effective Human-AI Teams: The Case of Human-Robot Packing

We focus on the problem of designing an artificial agent capable of assisting a human user to complete a task. Our goal is to guide human users towar…
Sep 14, 2019
Robotics
Machine Learning

Selfie Drone Stick: A Natural Interface for Quadcopter Photography

A physical selfie stick extends the user's reach, enabling the creation of personal photos that include more of the background scene. Conversely a qu…
Sep 14, 2019
Artificial Intelligence

Responsive Planning and Recognition for Closed-Loop Interaction

Many intelligent systems currently interact with others using at least one of fixed communication inputs or preset responses, resulting in rigid inte…
Sep 13, 2019
By shiyue
Computation and Language
Artificial Intelligence
Machine Learning

Addressing Semantic Drift in Question Generation for Semi-Supervised …

Text-based Question Generation (QG) aims at generating natural and relevant questions that can be answered by a given answer in some context. Existin…
Sep 13, 2019
By draj
Audio and Speech Processing
Computation and Language
Sound

Probing the Information Encoded in x-vectors

Deep neural network based speaker embeddings, such as x-vectors, have been shown to perform well in text-independent speaker recognition/verification…
Sep 13, 2019
By umang
Machine Learning
Artificial Intelligence
Computers and Society
Human-Computer Interaction

In this study, we critically examine how explanation techniques are used in practice and illuminate the gaps between current techniques and normative desiderata. We are the first, to our knowledge, to interview various organizations on how they depl…

Explainable Machine Learning in Deployment

Explainable machine learning seeks to provide various stakeholders with insights into model behavior via feature importance scores, counterfactual ex…
Sep 13, 2019
Machine Learning
Computer Vision

Measuring the Effects of Non-Identical Data Distribution for Federate…

Federated Learning enables visual models to be trained in a privacy-preserving way using real-world data from mobile devices. Given their distributed…
Sep 13, 2019
Computation and Language

simple but effective techniques to reduce biases

There have been several studies recently showing that strong natural language inference (NLI) models are prone to relying on unwanted dataset biases,…
Sep 13, 2019
Machine Learning
Computer Vision

Flow Models for Arbitrary Conditional Likelihoods

Understanding the dependencies among features of a dataset is at the core of most unsupervised learning tasks. However, a majority of generative mode…
Sep 13, 2019
Computation and Language
Sound
Audio and Speech Processing

A Comparative Study on Transformer vs RNN in Speech Applications

Sequence-to-sequence models have been widely used in end-to-end speech processing, for example, automatic speech recognition (ASR), speech translatio…
Sep 13, 2019
Artificial Intelligence
Human-Computer Interaction
Robotics

Petri Net Machines for Human-Agent Interaction

Smart speakers and robots become ever more prevalent in our daily lives. These agents are able to execute a wide range of tasks and actions and, ther…
Sep 13, 2019
Machine Learning
Computation

Adversarial $α$-divergence Minimization for Bayesian Approximate In…

Neural networks are popular models for regression. They are often trained via back-propagation to find a value of the weights that correctly predicts…
There aren't more projects

Every arXiv paper needs to be discussed

Request Comment

or Invite via email
You are asking your first question!
How to quickly get a good answer:
  • Keep your question short and to the point
  • Check for grammar or spelling errors.
  • Phrase it like a question
Test
Test description