High-dimensional separability for one- and few-shot learning

28 June 2021

Alexander N. Gorban

Evgeny M. Mirkes

Papers citing "High-dimensional separability for one- and few-shot learning"

27 / 27 papers shown

Title
The Feasibility and Inevitability of Stealth Attacks I. Tyukin D. Higham Alexander Bastounis Eliyas Woldegeorgis Alexander N. Gorban AAML 44 19 0 26 Jun 2021
Demystification of Few-shot and One-shot Learning I. Tyukin A. Gorban Muhammad H. Alkhudaydi Qinghua Zhou 38 14 0 25 Apr 2021
General stochastic separation theorems with optimal bounds Bogdan Grechuk A. Gorban I. Tyukin 35 16 0 11 Oct 2020
AI Failures: A Review of Underlying Issues D. Banerjee S. S. Chanda 24 8 0 18 Jul 2020
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems I. Tyukin D. Higham A. Gorban AAML 31 39 0 09 Apr 2020
High--Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality A. Gorban V. A. Makarov Ivan Y. Tyukin 26 38 0 14 Jan 2020
Blessing of dimensionality at the edge I. Tyukin Alexander N. Gorban A. McEwan Sepehr Meshkinfamfard Lixin Tang 37 8 0 30 Sep 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 83 1,814 0 10 Apr 2019
A Compact Embedding for Facial Expression Similarity Raviteja Vemulapalli A. Agarwala CVBM 42 94 0 27 Nov 2018
Correction of AI systems by linear discriminants: Probabilistic foundations A. N. Gorban A. Golubkov Bogdan Grechuk E. M. Mirkes I. Tyukin 25 63 0 11 Nov 2018
The unreasonable effectiveness of small neural ensembles in high-dimensional brain A. N. Gorban V. Makarov I. Tyukin 29 52 0 20 Sep 2018
How deep should be the depth of convolutional neural networks: a backyard dog case study A. Gorban E. M. Mirkes I. Tyukin 39 52 0 03 May 2018
Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph L. Albergante Evgeny M. Mirkes Huidong Chen Alexis Martin Louis Faure E. Barillot Luca Pinello Alexander N. Gorban A. Zinovyev 34 56 0 20 Apr 2018
Augmented Artificial Intelligence: a Conceptual Framework Alexander N. Gorban Bogdan Grechuk I. Tyukin 28 13 0 06 Feb 2018
Blessing of dimensionality: mathematical foundations of the statistical physics of data A. N. Gorban I. Tyukin 62 149 0 10 Jan 2018
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation Kuniaki Saito Kohei Watanabe Yoshitaka Ushiku Tatsuya Harada 98 1,788 0 07 Dec 2017
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 292 4,049 0 16 Nov 2017
Knowledge Transfer Between Artificial Intelligence Systems I. Tyukin A. Gorban Konstantin I. Sofeikov I. Romanenko 30 31 0 05 Sep 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 295 8,130 0 15 Mar 2017
Stochastic Separation Theorems A. N. Gorban I. Tyukin 53 50 0 03 Mar 2017
Self-Correcting Models for Model-Based Reinforcement Learning Erik Talvitie LRM 68 94 0 19 Dec 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 365 7,319 0 13 Jun 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 369 9,486 0 28 May 2015
The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures Joseph Anderson M. Belkin Navin Goyal Luis Rademacher James R. Voss 121 93 0 12 Nov 2013
Is the k-NN classifier in high dimensions affected by the curse of dimensionality? V. Pestov 135 113 0 19 Oct 2011
Principal manifolds and graphs in practice: from molecular biology to dynamical systems A. N. Gorban A. Zinovyev 100 140 0 07 Jan 2010
Principal Graphs and Manifolds A. N. Gorban A. Zinovyev 109 147 0 02 Sep 2008