Deep nets for local manifold learning

24 July 2016

Papers citing "Deep nets for local manifold learning"

13 / 13 papers shown

Title
Transformers for Learning on Noisy and Task-Level Manifolds: Approximation and Generalization Insights Zhaiming Shen Alex Havrilla Rongjie Lai A. Cloninger Wenjing Liao 39 0 0 06 May 2025
Double-well Net for Image Segmentation Haotian Liu Jun Liu Raymond H. F. Chan Xue-Cheng Tai 55 7 0 31 Dec 2023
Approximation by non-symmetric networks for cross-domain learning H. Mhaskar 46 1 0 06 May 2023
Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness Hao Liu Alex Havrilla Rongjie Lai Wenjing Liao 39 6 0 17 Mar 2023
Local transfer learning from one data space to another H. Mhaskar Ryan O'Dowd 27 0 0 01 Feb 2023
Understanding CNN Fragility When Learning With Imbalanced Data Damien Dablain Kristen N. Jacobson C. Bellinger Mark Roberts Nitesh Chawla 39 39 0 17 Oct 2022
Shallow neural network representation of polynomials A. Beknazaryan 32 0 0 17 Aug 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power Binghui Li Jikai Jin Han Zhong J. Hopcroft Liwei Wang OOD 87 27 0 27 May 2022
Side Effects of Learning from Low-dimensional Data Embedded in a Euclidean Space Juncai He R. Tsai Rachel A. Ward 46 8 0 01 Mar 2022
A manifold learning approach for gesture recognition from micro-Doppler radar measurements Eric Mason H. Mhaskar A. Guo 28 2 0 04 Oct 2021
Estimation of a regression function on a manifold by fully connected deep neural networks Michael Kohler S. Langer U. Reif 22 4 0 20 Jul 2021
Deep Neural Networks for Rotation-Invariance Approximation and Learning C. Chui Shao-Bo Lin Ding-Xuan Zhou 32 34 0 03 Apr 2019
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling Gautam Pai Ronen Talmon A. Bronstein Ron Kimmel 32 41 0 16 Nov 2017