Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity

18 February 2016

Papers citing "Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity"

13 / 13 papers shown

Title
Training NTK to Generalize with KARE Johannes Schwab Bryan Kelly Semyon Malamud Teng Andrea Xu 79 0 0 16 May 2025
CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent Liang-bo Ning Shijie Wang Wenqi Fan Qing Li Xin Xu Hao Chen Feiran Huang AAML 63 17 0 13 Apr 2025
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence Berfin Simsek Amire Bendjeddou Daniel Hsu 102 0 0 13 Nov 2024
Optimal Kernel Quantile Learning with Random Features Caixing Wang Xingdong Feng 64 1 0 24 Aug 2024
Spectral complexity of deep neural networks Simmaco Di Lillo Domenico Marinucci Michele Salvi Stefano Vigogna BDL 87 2 0 15 May 2024
Global Convergence Rate of Deep Equilibrium Models with General Activations Lan V. Truong 53 2 0 11 Feb 2023
High Quality Segmentation for Ultra High-resolution Images Tiancheng Shen Yuechen Zhang Lu Qi Jason Kuen Xingyu Xie Jianlong Wu Zhe Lin Jiaya Jia 118 42 0 29 Nov 2021
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes Greg Yang 65 197 0 28 Oct 2019
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach Ryo Karakida S. Akaho S. Amari FedML 106 142 0 04 Jun 2018
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? Raja Giryes Guillermo Sapiro A. Bronstein 65 187 0 30 Apr 2015
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 213 583 0 27 Feb 2015
From average case complexity to improper learning complexity Amit Daniely N. Linial Shai Shalev-Shwartz 55 120 0 10 Nov 2013
Invariant Scattering Convolution Networks Joan Bruna S. Mallat 65 1,272 0 05 Mar 2012