Results 31 to 40 of about 273,497 (278)

Revisiting Knowledge Distillation via Label Smoothing Regularization

open access: yesComputer Vision and Pattern Recognition, 2020
Knowledge Distillation (KD) aims to distill the knowledge of a cumbersome teacher model into a lightweight student model. Its success is generally attributed to the privileged information on similarities among categories provided by the teacher model ...
Li Yuan   +4 more
semanticscholar   +1 more source

Directional Regularity and Metric Regularity

open access: yesSIAM Journal on Optimization, 2007
For general constraint systems in Banach spaces, we present the directional stability theorem based on the appropriate generalization of the directional regularity condition, suggested earlier in [A. V. Arutyunov and A. F. Izmailov, Math. Oper. Res., 31 (2006), pp. 526-543].
Arutyunov A.V.   +2 more
openaire   +3 more sources

Regular Modules [PDF]

open access: yesProceedings of the American Mathematical Society, 1972
Mathematics Technical ...
openaire   +4 more sources

Non-uniform refinement: adaptive regularization improves single-particle cryo-EM reconstruction

open access: yesNature Methods, 2019
Cryogenic electron microscopy (cryo-EM) is widely used to study biological macromolecules that comprise regions with disorder, flexibility or partial occupancy.
A. Punjani, H. Zhang, David J. Fleet
semanticscholar   +1 more source

Regular Homomorphisms and Regular Maps

open access: yesEuropean Journal of Combinatorics, 2002
The authors study regular automorphisms of oriented maps. Their main concern is the problem of lifting and projecting map automorphisms. Regular homomorphisms of oriented maps essentially arise from a factorization by a subgroup of automorphisms. In this paper, this kind of map automorphisms is studied in detail.
Malnič, Aleksander   +2 more
openaire   +1 more source

The Little Engine That Could: Regularization by Denoising (RED) [PDF]

open access: yesSIAM Journal of Imaging Sciences, 2016
Removal of noise from an image is an extensively studied problem in image processing. Indeed, the recent advent of sophisticated and highly effective denoising algorithms has led some to believe that existing methods are touching the ceiling in terms of ...
Yaniv Romano, Michael Elad, P. Milanfar
semanticscholar   +1 more source

Regular Operator Equations: Conditions for Regularity [PDF]

open access: yesProceedings of the American Mathematical Society, 1982
Regular operator equations are causal equations admitting unique solutions and have the property that all of their limiting equations along solutions admit unique solutions. Sufficient conditions which guarantee that an operator equation x = T x x = Tx is regular are given in case T T is
openaire   +2 more sources

Machine Learning with Membership Privacy using Adversarial Regularization [PDF]

open access: yesConference on Computer and Communications Security, 2018
Machine learning models leak significant amount of information about their training sets, through their predictions. This is a serious privacy concern for the users of machine learning as a service.
Milad Nasr, R. Shokri, Amir Houmansadr
semanticscholar   +1 more source

Regularized CNN Feature Hierarchy for Hyperspectral Image Classification

open access: yesRemote Sensing, 2021
Convolutional Neural Networks (CNN) have been rigorously studied for Hyperspectral Image Classification (HSIC) and are known to be effective in exploiting joint spatial-spectral information with the expense of lower generalization performance and ...
Muhammad Ahmad   +2 more
doaj   +1 more source

Error Estimations for Total Variation Type Regularization

open access: yesMathematics, 2021
This paper provides several error estimations for total variation (TV) type regularization, which arises in a series of areas, for instance, signal and imaging processing, machine learning, etc.
Kuan Li, Chun Huang, Ziyang Yuan
doaj   +1 more source

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