Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization

25 August 2019

Papers citing "Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization"

20 / 20 papers shown

Title
Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Ashim Dahal Saydul Akbar Murad Nick Rahimi 36 0 0 27 Jan 2025
Dissecting a Small Artificial Neural Network Xiguang Yang Krish Arora Michael Bachmann 32 0 0 03 Jan 2025
KAN: Kolmogorov-Arnold Networks Ziming Liu Yixuan Wang Sachin Vaidya Fabian Ruehle James Halverson Marin Soljacic Thomas Y. Hou Max Tegmark 80 473 0 30 Apr 2024
Surfing the modeling of PoS taggers in low-resource scenarios M. Ferro V. Darriba F. J. Ribadas J. G. Gil 14 0 0 04 Feb 2024
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss T. Getu Georges Kaddoum M. Bennis 34 1 0 13 Sep 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 35 2 0 31 May 2023
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent Avrajit Ghosh He Lyu Xitong Zhang Rongrong Wang 45 20 0 02 Feb 2023
Deep Learning Meets Sparse Regularization: A Signal Processing Perspective Rahul Parhi Robert D. Nowak 23 25 0 23 Jan 2023
Biologically Plausible Training of Deep Neural Networks Using a Top-down Credit Assignment Network Jian-Hui Chen Cheng-Lin Liu Zuoren Wang 21 0 0 01 Aug 2022
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics Chunheng Jiang Tejaswini Pedapati Pin-Yu Chen Yizhou Sun Jianxi Gao 21 2 0 11 Jan 2022
Federated Optimization of Smooth Loss Functions Ali Jadbabaie A. Makur Devavrat Shah FedML 19 7 0 06 Jan 2022
Towards the One Learning Algorithm Hypothesis: A System-theoretic Approach Christos N. Mavridis John S. Baras 18 1 0 04 Dec 2021
Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions Tong Mao Zhongjie Shi Ding-Xuan Zhou 10 33 0 02 Jul 2021
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios Alessandro Favero Francesco Cagnetta M. Wyart 24 31 0 16 Jun 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 124 165 0 29 Jan 2021
Data-Driven Random Access Optimization in Multi-Cell IoT Networks with NOMA Sami Khairy Prasanna Balaprakash L. Cai H. Vincent Poor 19 6 0 02 Jan 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike? Jun Ma 64 25 0 01 Jan 2021
Gradient-Based Empirical Risk Minimization using Local Polynomial Regression Ali Jadbabaie A. Makur Devavrat Shah 22 6 0 04 Nov 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 43 82 0 10 Jun 2020
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex Q. Liao T. Poggio 213 255 0 13 Apr 2016