Galerieelemente in der Kategorie Two-column
Kürzlich
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EduComp2022 Template
Template para o EduComp 2022
Rodrigo Silva Duran
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Instructions for ACL-IJCNLP 2021 Proceedings
LaTeX Overleaf template for ACL-IJCNLP 2021
Note from Overleaf:
SyncTeX will not work correctly with this template (as well as other templates based on similar underlying code, eg CVPR, EMNLP, etc) when the line numbers are active. To make SyncTeX function while authoring your manuscript, either on Overleaf or in your own LaTeX installation, the line numbers have to be turned off by uncommenting \aclfinalcopy.
Roberto Navigli, Wenjie Li, Fei Xia
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Plantilla_Informe Laboratorio
Esta plantilla esta basada en el formato IEEE Journal. Es utilizada para fines formativos en la asignatura de física para estudiantes de la educación media.
Julián Valbuena
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Language Resources and Evaluation Conference 2020 LaTeX template
12th Edition of the Language Resources and Evaluation Conference LaTeX template.
Source: https://lrec2020.lrec-conf.org/en/submission2020/authors-kit/.
LREC 2020 Organizers
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Term Paper Template
I am using this template to share with my students to start their term paper.
blowe
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Conservative Wasserstein Training for Pose Estimation
Paper presented at ICCV 2019.
This paper targets the task with discrete and periodic
class labels (e.g., pose/orientation estimation) in the context of deep learning. The commonly used cross-entropy or
regression loss is not well matched to this problem as they
ignore the periodic nature of the labels and the class similarity, or assume labels are continuous value. We propose to
incorporate inter-class correlations in a Wasserstein training framework by pre-defining (i.e., using arc length of a
circle) or adaptively learning the ground metric. We extend
the ground metric as a linear, convex or concave increasing
function w.r.t. arc length from an optimization perspective.
We also propose to construct the conservative target labels
which model the inlier and outlier noises using a wrapped
unimodal-uniform mixture distribution. Unlike the one-hot
setting, the conservative label makes the computation of
Wasserstein distance more challenging. We systematically
conclude the practical closed-form solution of Wasserstein
distance for pose data with either one-hot or conservative
target label. We evaluate our method on head, body, vehicle and 3D object pose benchmarks with exhaustive ablation studies. The Wasserstein loss obtaining superior performance over the current methods, especially using convex mapping function for ground metric, conservative label,
and closed-form solution.
Xiaofeng Liu, Yang Zou, Tong Che, Peng Ding, Ping Jia, Jane You, B.V.K. Vijaya Kumar
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Vietnamese IEEE Report Template
Vietnamese IEEE Report Template
Oanh Pham
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EEET2493 Lab Report 3
Lab 3 report following IEEE EEET2493
francisco tovar
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Working Paper Interdisciplinary Laboratory of Computational Social Science (iLCSS)
This is a working paper template developed by the Interdisciplinary Laboratory of Computational Social Science at the University of Maryland, College Park.
Tiago Ventura