ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1809.10749
  4. Cited By
On the loss landscape of a class of deep neural networks with no bad
  local valleys

On the loss landscape of a class of deep neural networks with no bad local valleys

27 September 2018
Quynh N. Nguyen
Mahesh Chandra Mukkamala
Matthias Hein
ArXivPDFHTML

Papers citing "On the loss landscape of a class of deep neural networks with no bad local valleys"

18 / 18 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
Merging Text Transformer Models from Different Initializations
Merging Text Transformer Models from Different Initializations
Neha Verma
Maha Elbayad
MoMe
59
7
0
01 Mar 2024
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
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
Mechanistic Mode Connectivity
Mechanistic Mode Connectivity
Ekdeep Singh Lubana
Eric J. Bigelow
Robert P. Dick
David M. Krueger
Hidenori Tanaka
32
45
0
15 Nov 2022
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
Keller Jordan
Hanie Sedghi
O. Saukh
R. Entezari
Behnam Neyshabur
MoMe
46
94
0
15 Nov 2022
When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work
When Expressivity Meets Trainability: Fewer than nnn Neurons Can Work
Jiawei Zhang
Yushun Zhang
Mingyi Hong
Ruoyu Sun
Zhi-Quan Luo
26
10
0
21 Oct 2022
Boosting vision transformers for image retrieval
Boosting vision transformers for image retrieval
Chull Hwan Song
Jooyoung Yoon
Shunghyun Choi
Yannis Avrithis
ViT
34
32
0
21 Oct 2022
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity
  of Neural Networks
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks
A. K. Akash
Sixu Li
Nicolas García Trillos
34
12
0
13 Oct 2022
On the generalization of learning algorithms that do not converge
On the generalization of learning algorithms that do not converge
N. Chandramoorthy
Andreas Loukas
Khashayar Gatmiry
Stefanie Jegelka
MLT
19
11
0
16 Aug 2022
The Role of Permutation Invariance in Linear Mode Connectivity of Neural
  Networks
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
R. Entezari
Hanie Sedghi
O. Saukh
Behnam Neyshabur
MoMe
39
216
0
12 Oct 2021
Loss landscapes and optimization in over-parameterized non-linear
  systems and neural networks
Loss landscapes and optimization in over-parameterized non-linear systems and neural networks
Chaoyue Liu
Libin Zhu
M. Belkin
ODL
14
247
0
29 Feb 2020
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating
  Decreasing Paths to Infinity
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity
Shiyu Liang
Ruoyu Sun
R. Srikant
35
19
0
31 Dec 2019
Optimization for deep learning: theory and algorithms
Optimization for deep learning: theory and algorithms
Ruoyu Sun
ODL
22
168
0
19 Dec 2019
Machine Learning and System Identification for Estimation in Physical
  Systems
Machine Learning and System Identification for Estimation in Physical Systems
Fredrik Bagge Carlson
OOD
16
5
0
05 Jun 2019
Non-attracting Regions of Local Minima in Deep and Wide Neural Networks
Non-attracting Regions of Local Minima in Deep and Wide Neural Networks
Henning Petzka
C. Sminchisescu
29
9
0
16 Dec 2018
A Priori Estimates of the Population Risk for Two-layer Neural Networks
A Priori Estimates of the Population Risk for Two-layer Neural Networks
Weinan E
Chao Ma
Lei Wu
29
130
0
15 Oct 2018
Global optimality conditions for deep neural networks
Global optimality conditions for deep neural networks
Chulhee Yun
S. Sra
Ali Jadbabaie
128
117
0
08 Jul 2017
The Loss Surfaces of Multilayer Networks
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
1