Question Classification with Deep Contextualized Transformer
October 17, 2019
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Computer Science
Computation and Language
Artificial Intelligence
The latest work for Question and Answer problems is to use the Stanford Parse
Tree. We build on prior work and develop a new method to handle the Question
and Answer problem with the Deep Contextualized Transformer to manage some
aberrant e...
Derived deformation theory of algebraic structures
October 16, 2019
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Mathematics
Algebraic Topology
Quantum Algebra
The main purpose of this article is to develop an explicit derived
deformation theory of algebraic structures at a high level of generality,
encompassing in a common framework various kinds of algebras (associative,
commutative, Poisson...)...
Deep Semantic Segmentation of Natural and Medical Images: A Review
October 16, 2019
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Computer Science
Electrical Engineering and Systems Science
Computer Vision and Pattern Recognition
Machine Learning
Image and Video Processing
The semantic image segmentation task consists of classifying each pixel of an
image into an instance, where each instance corresponds to a class. This task
is a part of the concept of scene understanding or better explaining the global
cont...
Invitation to Hadamard matrices
October 15, 2019
Mathematics
Combinatorics
Probability
An Hadamard matrix is a square matrix H∈MN(±1) whose rows and
pairwise orthogonal. More generally, we can talk about the complex Hadamard
matrices, which are the square matrices H∈MN(C) whose entries are
on the unit ci...
Canonical bundle formula and degenerating families of volume forms
October 15, 2019
Mathematics
Algebraic Geometry
Complex Variables
Differential Geometry
General canonical bundle formula due to Kawamata and others has played
fundamental roles in algebraic geometry. We show that the canonical bundle
formula has analytic characterization in terms of fiberwise integration, which
confirms a folk...
Optimal Clustering from Noisy Binary Feedback
October 14, 2019
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Statistics
Computer Science
Machine Learning
Machine Learning
Machine Learning
Machine Learning
We study the problem of clustering a set of items from binary user feedback.
Such a problem arises in crowdsourcing platforms solving large-scale labeling
tasks with minimal effort put on the users. For example, in some of the recent
reCAPT...
On the Reduction of Variance and Overestimation of Deep Q-Learning
October 14, 2019
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Computer Science
Statistics
Machine Learning
Machine Learning
The breakthrough of deep Q-Learning on different types of environments
revolutionized the algorithmic design of Reinforcement Learning to introduce
more stable and robust algorithms, to that end many extensions to deep
Q-Learning algorithm ...
Weakly maximal subgroups of branch groups
October 14, 2019
Mathematics
Group Theory
Let G be a branch group acting by automorphisms on a rooted tree T.
Stabilizers of infinite rays in T are examples of weakly maximal subgroups of
G (subgroups that are maximal among subgroups of infinite index), but in
general they ...
Large Deviations for Stochastic Differential Equations Driven by
Semimartingales
October 13, 2019
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Mathematics
Probability
Dynamical Systems
We prove a large deviation principle for stochastic differential equations
driven by semimartingales, with additive controls. Conditions are given in
terms of characteristics of driven semimartingales, so that if the
noise-control pairs sat...
The Goldie Equation: III. Homomorphisms from Functional Equations
October 13, 2019
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Mathematics
Classical Analysis and ODEs
This is the second of three sequels to arXiv1407.4089 -- the third of the
resulting quartet -- concerning the real-valued continuous solutions of the
multivariate Goldie functional equation (GFE) below of Levi-Civita type.
Following on from...