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**Untrained Neural Network Priors for Inverse Imaging Problems:
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*PAMI(45)*, No. 5, May 2023, pp. 6511-6536.

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Inverse problems, Neural networks, Imaging, Task analysis,
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**Adaptive graph regularization method based on least square regression
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Adaptive graph regularization, Least squares regression,
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**Convolutional Neural Networks Demystified:
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*SMCS(53)*, No. 6, June 2023, pp. 3614-3628.

IEEE DOI
**2305**

Convolution, Noise measurement, Pattern matching,
Feature extraction, Standards, Signal resolution, Filtering,
matched filter
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IEEE DOI

Image recognition, Shape, Robot sensing systems, Pattern recognition, Convolutional neural networks, artificial intelligence BibRef

*Alfarra, M.[Motasem]*,
*Pérez, J.C.[Juan C.]*,
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*Torr, P.H.S.[Philip H. S.]*,
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*ECCV22*(XVII:18-33).

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**CNN Filter DB:
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*CVPR22*(19044-19054)

IEEE DOI
**2210**

WWW Link. Convolution, Computational modeling,
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Transfer/low-shot/long-tail learning
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*Gavrikov, P.[Paul]*,
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**Adversarial Robustness through the Lens of Convolutional Filters**,

*ArtOfRobust22*(138-146)

IEEE DOI
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Training, Convolution, Perturbation methods,
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*Inkawhich, M.[Matthew]*,
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*Davis, E.[Eric]*,
*Li, H.[Hai]*,
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**The Untapped Potential of Off-the-Shelf Convolutional Neural Networks**,

*WACV22*(2907-2916)

IEEE DOI
**2202**

Training, Upper bound, Convolution,
Network architecture, Inference algorithms, Data models,
Vision Systems and Applications
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*Minskiy, D.[Dmitry]*,
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**Efficient Hybrid Network: Inducting Scattering Features**,

*ICPR22*(2300-2306)

IEEE DOI
**2212**

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**Scattering-Based Hybrid Networks: An Evaluation and Design Guide**,

*ICIP21*(2793-2797)

IEEE DOI
**2201**

Training, Force, Scattering, Training data, Performance gain,
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Image resolution, System performance, Buildings, hybrid, network design
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*Zhou, H.Y.[Hong-Yu]*,
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*Yu, Y.Z.[Yi-Zhou]*,

**ConvNets vs. Transformers:
Whose Visual Representations are More Transferable?**,

*DeepMTL21*(2230-2238)

IEEE DOI
**2112**

Performance evaluation, Visualization,
Face recognition, Transfer learning, Estimation
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*Wang, X.H.[Xiao-Han]*,
*Eliott, F.M.[Fernanda M.]*,
*Ainooson, J.[James]*,
*Palmer, J.H.[Joshua H.]*,
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**An Object is Worth Six Thousand Pictures:
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*Egocentric17*(2364-2372)

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**1802**

*Dataset, Learning*. Egocentric, Manual, Multi-Image (EMMI) Dataset.
Automobiles, Cameras, Manuals, Object recognition,
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**The Prax Approach to Learning a Large Number of
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**Progress on Vision Through Learning**,

*ARPA96*(177-188).
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**Report of the AAAI Fall Symposium on Machine Learning and
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*ARPA94*(I:727-731).
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in

Privacy in Learning .

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