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. 2111.05496
  4. Cited By
ResNEsts and DenseNEsts: Block-based DNN Models with Improved
  Representation Guarantees
v1v2 (latest)

ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees

10 November 2021
Kuan-Lin Chen
Ching-Hua Lee
H. Garudadri
Bhaskar D. Rao
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees"

16 / 16 papers shown
Title
Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology
Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology
Kuan-Lin Chen
Bhaskar D. Rao
68
1
0
29 Aug 2024
Towards Understanding the Importance of Shortcut Connections in Residual
  Networks
Towards Understanding the Importance of Shortcut Connections in Residual Networks
Tianyi Liu
Minshuo Chen
Mo Zhou
S. Du
Enlu Zhou
T. Zhao
44
45
0
10 Sep 2019
Depth with Nonlinearity Creates No Bad Local Minima in ResNets
Depth with Nonlinearity Creates No Bad Local Minima in ResNets
Kenji Kawaguchi
Yoshua Bengio
ODL
95
64
0
21 Oct 2018
Are ResNets Provably Better than Linear Predictors?
Are ResNets Provably Better than Linear Predictors?
Ohad Shamir
69
54
0
18 Apr 2018
Understanding the Loss Surface of Neural Networks for Binary
  Classification
Understanding the Loss Surface of Neural Networks for Binary Classification
Shiyu Liang
Ruoyu Sun
Yixuan Li
R. Srikant
87
88
0
19 Feb 2018
Visualizing the Loss Landscape of Neural Nets
Visualizing the Loss Landscape of Neural Nets
Hao Li
Zheng Xu
Gavin Taylor
Christoph Studer
Tom Goldstein
266
1,901
0
28 Dec 2017
The Microsoft 2017 Conversational Speech Recognition System
The Microsoft 2017 Conversational Speech Recognition System
Wayne Xiong
Lingfeng Wu
F. Alleva
J. Droppo
Xuedong Huang
A. Stolcke
83
466
0
21 Aug 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
527
10,358
0
16 Nov 2016
Identity Matters in Deep Learning
Identity Matters in Deep Learning
Moritz Hardt
Tengyu Ma
OOD
99
399
0
14 Nov 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
248
8,737
0
15 Jun 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
362
8,005
0
23 May 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
357
10,204
0
16 Mar 2016
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
114
6,204
0
14 Nov 2015
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor
  Decomposition
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition
Rong Ge
Furong Huang
Chi Jin
Yang Yuan
146
1,059
0
06 Mar 2015
Convolutional Neural Networks at Constrained Time Cost
Convolutional Neural Networks at Constrained Time Cost
Kaiming He
Jian Sun
3DV
88
1,292
0
04 Dec 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
609
15,907
0
12 Nov 2013
1