Home      Library      Discussions      About
Join us
Latest Conferences Trending
VISION
LANGUAGE
SOUND
ROBOTICS
OPTICS
GENOMICS
Mar 27, 2020
Computer Vision

DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search

Efficient search is a core issue in Neural Architecture Search (NAS). It is difficult for conventional NAS algorithms to directly search the architec…
Mar 27, 2020
Computer Vision

Assessing Image Quality Issues for Real-World Problem

We introduce a new large-scale dataset that links the assessment of image quality issues to two practical vision tasks: image captioning and visual q…
Mar 27, 2020
Computer Vision

Hybrid Models for Open Set Recognition

Open set recognition requires a classifier to detect samples not belonging to any of the classes in its training set. Existing methods fit a probabil…
Mar 27, 2020
Machine Learning

ABBA: Adaptive Brownian bridge-based symbolic aggregation of time ser…

A new symbolic representation of time series, called ABBA, is introduced. It is based on an adaptive polygonal chain approximation of the time series…
Mar 27, 2020
Instrumentation and Detectors
Machine Learning

Using Machine Learning to Speed Up and Improve Calorimeter R&D

Design of new experiments, as well as upgrade of ongoing ones, is a continuous process in the experimental high energy physics. Since the best soluti…
Mar 27, 2020
Methodology
Machine Learning

Robust Q-learning

Q-learning is a regression-based approach that is widely used to formalize the development of an optimal dynamic treatment strategy. Finite dimension…
Mar 27, 2020
Audio and Speech Processing
Machine Learning
Sound

Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to …

Mobile and embedded devices are increasingly using microphones and audio-based computational models to infer user context. A major challenge in build…
Mar 27, 2020
Computer Vision

Weakly-Supervised Action Localization by Generative Attention Modeling

Weakly-supervised temporal action localization is a problem of learning an action localization model with only video-level action labeling available.…
Mar 27, 2020
Machine Learning
Distributed
Parallel
and Cluster Computing
Information Theory
Optimization and Control

A Hybrid-Order Distributed SGD Method for Non-Convex Optimization to …

In this paper, we propose a method of distributed stochastic gradient descent (SGD), with low communication load and computational complexity, and st…
Mar 27, 2020
Machine Learning
Methodology

On the role of surrogates in the efficient estimation of treatment …

We study the problem of estimating treatment effects when the outcome of primary interest (e.g., long-term health status) is only seldom observed but…
Mar 27, 2020
Machine Learning
Numerical Analysis
Optimization and Control

The authors would like to thank Emilie Renard for the stimulating discussions that improved the ideas presented here.

On a minimum enclosing ball of a collection of linear subspaces

This paper concerns the minimax center of a collection of linear subspaces. When the subspaces are $k$-dimensional subspaces of $\mathbb{R}^n$, this …
Mar 27, 2020
Computation and Language

The quality of sentiment labels generated by our updated VADER lexicon is better compared to the labels generated by the original VADER English lexicon.1.Sentiment labels by human annotators was able to capture nuances that the rule based sentiment …

Semantic Enrichment of Nigerian Pidgin English for Contextual Sentime…

Nigerian English adaptation, Pidgin, has evolved over the years through multi-language code switching, code mixing and linguistic adaptation. While P…
Mar 27, 2020
Computer Vision

We proposed conditional implicit surface light fields, a novel representation of visual appearance of 3D objects. Our model reasons about complex visual effects including texture, diffuse and specular reflection as well as shadows. Our representatio…

Learning Implicit Surface Light Fields

Implicit representations of 3D objects have recently achieved impressive results on learning-based 3D reconstruction tasks. While existing works use …
Mar 27, 2020
Machine Learning
Computer Vision

MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Refor…

Many recently proposed methods for Neural Architecture Search (NAS) can be formulated as bilevel optimization. For efficient implementation, its solu…
Mar 27, 2020
Computer Vision

Towards Discriminability and Diversity: Batch Nuclear-norm Maximizati…

The learning of the deep networks largely relies on the data with human-annotated labels. In some label insufficient situations, the performance degr…
Mar 27, 2020
Computer Vision

Learning to Optimize Non-Rigid Tracking

One of the widespread solutions for non-rigid tracking has a nested-loop structure: with Gauss-Newton to minimize a tracking objective in the outer l…
Mar 27, 2020
Computer Vision

Multi-Granularity Reference-Aided Attentive Feature Aggregation for …

Video-based person re-identification (reID) aims at matching the same person across video clips. It is a challenging task due to the existence of red…
Mar 27, 2020
Computation and Language
Artificial Intelligence
Information Retrieval

Comprehensive Named Entity Recognition on CORD-19 with Distant or Wea…

We created this CORD-19-NER dataset with comprehensive named entity recognition (NER) on the COVID-19 Open Research Dataset Challenge (CORD-19) corpu…
Mar 27, 2020
Machine Learning

Distributed Kernel Ridge Regression with Communications

This paper focuses on generalization performance analysis for distributed algorithms in the framework of learning theory. Taking distributed kernel r…
Mar 27, 2020
Machine Learning

Improving Reproducibility in Machine Learning Research (A Report from…

One of the challenges in machine learning research is to ensure that presented and published results are sound and reliable. Reproducibility, that is…
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