Home      Discussions      About
Join us
Latest Conferences Trending
VISION
LANGUAGE
SOUND
ROBOTICS
OPTICS
GENOMICS
Feb 21, 2019
Machine Learning
Data Structures and Algorithms
Probability
Computation

Online Sampling from Log-Concave Distributions

Given a sequence of convex functions $f_0, f_1, \ldots, f_T$, we study the problem of sampling from the Gibbs distribution $\pi_t \propto e^{-\sum_...
Feb 21, 2019
Machine Learning
Optimization and Control

A Dictionary Based Generalization of Robust PCA

We analyze the decomposition of a data matrix, assumed to be a superposition of a low-rank component and a component which is sparse in a known dic...
Feb 21, 2019
By nrdas
Robotics

Learning-Based Proxy Collision Detection for Robot Motion Planning ...

This paper demonstrates that collision detection-intensive applications such as robotic motion planning may be accelerated by performing collision ...
Feb 21, 2019
Machine Learning

We have presented a method to visualize the evolution of weights during the training of a fully connected feedforward neural network. It would be desirable to obtain a better theoretical understanding of the various phenomena that we have observed...

Topology of Learning in Artificial Neural Networks

Understanding how neural networks learn remains one of the central challenges in machine learning research. From random at the start of training, t...
Feb 21, 2019
By sesser
Machine Learning

Learned Step Size Quantization

We present here Learned Step Size Quantization, a method for training deep networks such that they can run at inference time using low precision in...
Feb 21, 2019
By tian
Machine Learning

Evaluating the Search Phase of Neural Architecture Search

Neural Architecture Search (NAS) aims to facilitate the design of deep networks for new tasks. Existing techniques rely on two stages: searching ov...
Feb 21, 2019
By cnb3001
Machine Learning
Genomics
Molecular Networks
Quantitative Methods

A Nonparametric Multi-view Model for Estimating Cell Type-Specific ...

We present a Bayesian hierarchical multi-view mixture model termed Symphony that simultaneously learns clusters of cells representing cell types an...
Feb 21, 2019
By ddubray
Computer Vision
Machine Learning
Neurons and Cognition

Deep CNN-based Speech Balloon Detection and Segmentation for Comic ...

We develop a method for the automated detection and segmentation of speech balloons in comic books, including their carrier and tails. Our method i...
Feb 21, 2019
Machine Learning
Computer Vision

Domain Partitioning Network

Standard adversarial training involves two agents, namely a generator and a discriminator, playing a mini-max game. However, even if the players co...
Feb 21, 2019
Neural and Evolutionary Computation
Disordered Systems and Neural Networks
Machine Learning
Dynamical Systems

A Mean Field Theory of Batch Normalization

We develop a mean field theory for batch normalization in fully-connected feedforward neural networks. In so doing, we provide a precise characteri...
Feb 21, 2019
By feralo
Computer Vision

Cross-Sensor Periocular Biometrics: A Comparative Benchmark includi...

The massive availability of cameras and personal devices results in a wide variability between imaging conditions, producing large intra-class vari...
Feb 21, 2019
Machine Learning

Statistics and Samples in Distributional Reinforcement Learning

We present a unifying framework for designing and analysing distributional reinforcement learning (DRL) algorithms in terms of recursively estimati...
Feb 21, 2019
Artificial Intelligence
Machine Learning

Unsupervised Grounding of Plannable First-Order Logic Representatio...

Recently, there is an increasing interest in obtaining the relational structures of the environment in the Reinforcement Learning community. Howeve...
Feb 21, 2019
Machine Learning

Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise ...

The softmax function on top of a final linear layer is the de facto method to output probability distributions in neural networks. In many applicat...
Feb 21, 2019
By y.gao47
Human-Computer Interaction
Machine Learning

Towards Reliable, Automated General Movement Assessment for Perinat...

Perinatal stroke (PS) is a serious condition that, if undetected and thus untreated, often leads to life-long disability, in particular Cerebral Pa...
Feb 21, 2019

We have analysed the evolutionary stages of a set of 16 objects previously catalogued as OCRs or POCRs. We have employed parameters that are directly associated with dynamical evolution: age, limiting radius, stellar mass, and velocity dispersion....

Investigating dynamical properties of evolved Galactic open clusters

The stellar content of Galactic open clusters is gradually depleted during their evolution as a result of internal relaxation and external interact...
Feb 21, 2019
Computation and Language

Deep Short Text Classification with Knowledge Powered Attention

Short text classification is one of important tasks in Natural Language Processing (NLP). Unlike paragraphs or documents, short texts are more ambi...
Feb 21, 2019
Machine Learning
Disordered Systems and Neural Networks

Active online learning in the binary perceptron problem

The binary perceptron is the simplest artificial neural network formed by $N$ input units and one output unit, with the neural states and the synap...
Feb 21, 2019
Information Retrieval
Machine Learning

Dressing as a Whole: Outfit Compatibility Learning Based on Node-wi...

With the rapid development of fashion market, the customers' demands of customers for fashion recommendation are rising. In this paper, we aim to i...
Feb 21, 2019
Neural and Evolutionary Computation

Mitigating Metaphors: A Comprehensible Guide to Recent Nature-Inspi...

In recent years, there has been an explosion of new metaheuristic algorithms that explore different sources of inspiration within the biological an...
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