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Contrastive Representation Learning: A Framework and Review
[article]
2020
arXiv
pre-print
In this paper we provide a comprehensive literature review and we propose a general Contrastive Representation Learning framework that simplifies and unifies many different contrastive learning methods ...
We also provide a taxonomy for each of the components of contrastive learning in order to summarise it and distinguish it from other forms of machine learning. ...
Motivated by this, a non-parametric version for the softmax function that correctly identifies the positive for a given query from a set K and contains all negative keys with one positive key can be defined ...
arXiv:2010.05113v1
fatcat:xdegcaoarvevdfl4r22pyzqr4e
Contrastive Representation Learning: A Framework and Review
2020
IEEE Access
We thank Ting Chen from Google Brain for the helpful comments on an early draft of this paper. ...
Science Foundation Ireland through the SFI Centre for Research Training in Machine Learning (18/CRT/6183) and the Insight Centre for Data Analytics (SFI/12/RC/2289_P2). ...
Motivated by this, a non-parametric version for the softmax function that correctly identifies the positive for a given query from a set K and contains all negative keys with one positive key can be defined ...
doi:10.1109/access.2020.3031549
fatcat:qohhn2f2tray5ha3iafxbnwp74
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction
[article]
2020
arXiv
pre-print
In this paper, we present MulTiDR, a new DR framework that enables processing of time-dependent multivariate data as a whole to provide a comprehensive overview of the data. ...
With the framework, we employ DR in two steps. ...
ACKNOWLEDGMENTS This research is sponsored in part by the U.S. National Science Foundation through grant IIS-1741536 and U.S. Department of Energy through grant DE-SC0014917. ...
arXiv:2008.01645v2
fatcat:ajtjb3uobbhuhitvlka4dgsaiu
Ridesourcing systems: A framework and review
2019
Transportation Research Part B: Methodological
The proposed framework and the review also suggest many avenues requiring future research. ...
In this paper, we propose a general framework to describe ridesourcing systems. ...
We also express our sincere appreciation to the seven anonymous referees for their invaluable comments and suggestions. ...
doi:10.1016/j.trb.2019.07.009
fatcat:m5rxzhsxsfaunoep77nsqdhbny
Statistical Frameworks for Time-to-Event Dose-Finding Designs: A Review
[article]
2021
arXiv
pre-print
We review statistical frameworks for time-to-event modeling in dose-finding trials and summarize existing designs into two classes: TITE deigns and POD designs. ...
In dose-finding trials, due to staggered enrollment, it might be desirable to make dose assignment decisions in real-time in the presence of pending toxicity outcomes, for example, when patient accrual ...
A future direction is to investigate more on these theoretical properties, especially for point-based or parametric designs. ...
arXiv:2006.11676v2
fatcat:b5gkuns3nvhsbcknsksv2fbuii
A Review of Data Cleaning Approaches in a Hydrographic Framework with a Focus on Bathymetric Multibeam Echosounder Datasets
2020
Geosciences
Based on this detailed review, past and future developments are discussed in light of both implementation and test on datasets and metrics used for performances assessment. ...
For this purpose, a taxonomy is proposed to categorize the whole set of automatic and semi-automatic methods addressing MBES data cleaning. ...
Parametric approaches are used to estimate the parameters of the assumed distribution, most of the time the mean and standard deviation of a Gaussian distribution, while non-parametric approaches estimate ...
doi:10.3390/geosciences10070254
fatcat:egrfjdibmreh5aos5gcjjbzuha
Quasiparticle properties in a density-functional framework
2006
Physical Review A. Atomic, Molecular, and Optical Physics
It is based on separating the Green's function into a quasi-particle part and a background part, and expressing only the background part as a functional of the density matrix. ...
The method can be viewed as a non-trivial extension of the Kohn-Sham scheme (which is embedded as a special case). ...
II A-II B. See, e.g., [20, 21, 22, 23, 24] for reviews and general papers on the specific use of GF theory in electronic structure problems. In Sec. ...
doi:10.1103/physreva.74.042501
fatcat:qzoaflkfivegvknnwpp2q4iy4i
Conceptual Optimal Design of Environmentally Friendly Airliners: A Review of Available Methodologies and their Integration into a Consistent Framework for Everyday Use
2015
International Journal of Sensor Networks and Data Communications
The present work analyzes some methodologies in order to select a subset of them. ...
Design tasks based on optimization with noise footprint, direct operational cost, and emission profile or a combination of them as objectives are presented and analyzed. ...
A subset of them was out selected for integration into a design framework that can be easily run in a desktop computer. ...
doi:10.4172/2090-4886.1000126
fatcat:e3dsnn4omvfpln7ftdgyhzurae
A Review on Dimension Reduction
2012
International Statistical Review
We also discuss some unsolved problems in this area for potential future research. ...
well as encounters unique challenges in comparison with the variable selection approach. ...
Acknowledgements The authors thank the editor's interest in dimension reduction which initiated this review. ...
doi:10.1111/j.1751-5823.2012.00182.x
pmid:23794782
pmcid:PMC3685755
fatcat:lin3oozxgzezlokipchefowen4
Unified framework to determine Gaussian states in continuous-variable systems
2017
Physical Review A
In the case of global pure states, knowledge of the reduced states in a given bipartition of a multipartite quantum system bears information on the entanglement in such bipartition. ...
Simply one-mode metaplectic evolutions, such rotations, squeezing and shear transformations, in addition to a single two-mode rotation, allows to determine all the covariance matrix elements of a n-mode ...
APM acknowledges the Argentinian agency SeCyT-UNC and CONICET for financial support. We are grateful to Stephen P. Walborn, Antonio Zelaquett Khoury and Gabriel H. Aguilar for fruitful discussions. ...
doi:10.1103/physreva.96.042341
fatcat:vrpswouwdzdkxdxjbrr3or6qxu
Statistical mechanics framework for static granular matter
2009
Physical Review E
In this framework, Point J characterized by a diverging stiffness of the pressure fluctuations. ...
So far, however, there exists no theoretical framework which can explain the observations in a unified manner beyond the phenomenological jamming diagram [1]. ...
BC acknowledges the hospitality of the Aspen Center for Physics, where some of this work was done. ...
doi:10.1103/physreve.79.061301
pmid:19658495
fatcat:um6adkj5cvcplifl5d7xynwd3q
Photon Temporal Modes: A Complete Framework for Quantum Information Science
2015
Physical Review X
Field-orthogonal temporal modes of photonic quantum states provide a new framework for quantum information science (QIS). ...
We show that the three main requirements to construct a valid framework for QIS -- the controlled generation of resource states, the targeted and highly efficient manipulation of temporal modes and their ...
FIG. 8 . 8 (a) Non-mode-selective detection of one PDC photon generally projects its sibling into a mixed state. ...
doi:10.1103/physrevx.5.041017
fatcat:hrghwk3ppvfbfdza2t2mimb4xe
A generic framework for colour texture segmentation
2010
Sensor Review
Secondly, a non-parametric statisti cal test was followed for texture comparison. ...
Non-parametric feature distributions were used for texture de
scription. ...
Appendix E
Results -Method-I
A P P E N D I X F. R E S U L T S -M E T H O D -I I
F .2 R e s u lts u s in g D C T a n d co lo u r fe a tu r e s
A P P E N D I X G. ...
doi:10.1108/02602281011010817
fatcat:yc6h7u5ounbn5ps62emu3cnjlu
A Review on Variable Selection in Regression Analysis
2018
Econometrics
Here, we provide a review of main methods and state-of-the art extensions as well as a topology of them over a wide range of model structures (linear, grouped, additive, partially linear and non-parametric ...
We provide explanations for which methods to use for different model purposes and their key differences. We also review two methods for improving variable selection in the general sense. ...
A penalty is imposed on the parametric part to select variables and splines are used for non-parametric estimation. ...
doi:10.3390/econometrics6040045
fatcat:f247og5jcjbadcui3xt2mwkime
A Review of Changepoint Detection Models
[article]
2019
arXiv
pre-print
Finally, we try to go a bit further in the theory and look into future research directions. ...
In this paper, we firstly summarize the definition and in-depth implication of the changepoint detection. ...
As for future research directions, the academia is now heading to find more methods based on non-parametric model-free algorithms to detect change points, such as the single spectrum method, direct density ...
arXiv:1908.07136v1
fatcat:yytucq6qbvbo5nh6vvp3te5wju
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