On Connected Sublevel Sets in Deep Learning

22 January 2019

Papers citing "On Connected Sublevel Sets in Deep Learning"

19 / 19 papers shown

Title
Analyzing the Role of Permutation Invariance in Linear Mode Connectivity Keyao Zhan Puheng Li Lei Wu MoMe 82 0 0 13 Mar 2025
How Neural Networks Learn the Support is an Implicit Regularization Effect of SGD Pierfrancesco Beneventano Andrea Pinto Tomaso A. Poggio MLT 32 1 0 17 Jun 2024
Towards Scalable and Versatile Weight Space Learning Konstantin Schurholt Michael W. Mahoney Damian Borth 50 15 0 14 Jun 2024
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods Akira Ito Masanori Yamada Atsutoshi Kumagai MoMe 64 5 0 06 Feb 2024
Mode Connectivity in Auction Design Christoph Hertrich Yixin Tao László A. Végh 21 1 0 18 May 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain Sravanti Addepalli P. Sahu Priyam Dey R. Venkatesh Babu MoMe OOD 43 20 0 28 Feb 2023
On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks Yizhou Liu Weijie J. Su Tongyang Li 24 17 0 29 Sep 2022
The loss landscape of deep linear neural networks: a second-order analysis E. M. Achour Franccois Malgouyres Sébastien Gerchinovitz ODL 24 9 0 28 Jul 2021
Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes James Lucas Juhan Bae Michael Ruogu Zhang Stanislav Fort R. Zemel Roger C. Grosse MoMe 164 28 0 22 Apr 2021
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization Tianyi Liu Yan Li S. Wei Enlu Zhou T. Zhao 21 13 0 24 Feb 2021
Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes Steffen Dereich Sebastian Kassing 34 27 0 16 Feb 2021
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks Quynh N. Nguyen Marco Mondelli Guido Montúfar 25 81 0 21 Dec 2020
Directional Pruning of Deep Neural Networks Shih-Kang Chao Zhanyu Wang Yue Xing Guang Cheng ODL 18 33 0 16 Jun 2020
Optimization for deep learning: theory and algorithms Ruoyu Sun ODL 19 168 0 19 Dec 2019
Non-attracting Regions of Local Minima in Deep and Wide Neural Networks Henning Petzka C. Sminchisescu 27 9 0 16 Dec 2018
Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization G. Wang G. Giannakis Jie Chen MLT 24 131 0 14 Aug 2018
Global optimality conditions for deep neural networks Chulhee Yun S. Sra Ali Jadbabaie 128 117 0 08 Jul 2017
Benefits of depth in neural networks Matus Telgarsky 148 602 0 14 Feb 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014