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. 1608.03983
  4. Cited By
SGDR: Stochastic Gradient Descent with Warm Restarts

SGDR: Stochastic Gradient Descent with Warm Restarts

13 August 2016
I. Loshchilov
Frank Hutter
    ODL
ArXivPDFHTML

Papers citing "SGDR: Stochastic Gradient Descent with Warm Restarts"

50 / 1,273 papers shown
Title
Geometric Back-projection Network for Point Cloud Classification
Geometric Back-projection Network for Point Cloud Classification
S. Qiu
Saeed Anwar
Nick Barnes
3DPC
22
3
0
28 Nov 2019
Open Cross-Domain Visual Search
Open Cross-Domain Visual Search
William Thong
Pascal Mettes
Cees G. M. Snoek
11
13
0
19 Nov 2019
Rethinking deep active learning: Using unlabeled data at model training
Rethinking deep active learning: Using unlabeled data at model training
Oriane Siméoni
Mateusz Budnik
Yannis Avrithis
G. Gravier
HAI
14
79
0
19 Nov 2019
Neural Network Pruning with Residual-Connections and Limited-Data
Neural Network Pruning with Residual-Connections and Limited-Data
Jian-Hao Luo
Jianxin Wu
11
112
0
19 Nov 2019
Graph Neural Ordinary Differential Equations
Graph Neural Ordinary Differential Equations
Michael Poli
Stefano Massaroli
Junyoung Park
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
AI4CE
37
154
0
18 Nov 2019
Preparing Lessons: Improve Knowledge Distillation with Better
  Supervision
Preparing Lessons: Improve Knowledge Distillation with Better Supervision
Tiancheng Wen
Shenqi Lai
Xueming Qian
23
67
0
18 Nov 2019
Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net
Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net
R. Venkatesh
Anand Metha
SSeg
11
4
0
27 Oct 2019
Reducing Domain Gap by Reducing Style Bias
Reducing Domain Gap by Reducing Style Bias
Hyeonseob Nam
HyunJae Lee
Jongchan Park
Wonjun Yoon
Donggeun Yoo
20
61
0
25 Oct 2019
Torchreid: A Library for Deep Learning Person Re-Identification in
  Pytorch
Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch
Kaiyang Zhou
Tao Xiang
16
116
0
22 Oct 2019
Self-Correction for Human Parsing
Self-Correction for Human Parsing
Peike Li
Yunqiu Xu
Yunchao Wei
Yezhou Yang
11
324
0
22 Oct 2019
Decoupling Representation and Classifier for Long-Tailed Recognition
Decoupling Representation and Classifier for Long-Tailed Recognition
Bingyi Kang
Saining Xie
Marcus Rohrbach
Zhicheng Yan
Albert Gordo
Jiashi Feng
Yannis Kalantidis
OODD
19
1,186
0
21 Oct 2019
Learning Generalisable Omni-Scale Representations for Person
  Re-Identification
Learning Generalisable Omni-Scale Representations for Person Re-Identification
Kaiyang Zhou
Yongxin Yang
Andrea Cavallaro
Tao Xiang
22
217
0
15 Oct 2019
Demon: Improved Neural Network Training with Momentum Decay
Demon: Improved Neural Network Training with Momentum Decay
John Chen
Cameron R. Wolfe
Zhaoqi Li
Anastasios Kyrillidis
ODL
8
15
0
11 Oct 2019
Deformable Kernels: Adapting Effective Receptive Fields for Object
  Deformation
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
Hang Gao
Xizhou Zhu
Steve Lin
Jifeng Dai
13
64
0
07 Oct 2019
SELF: Learning to Filter Noisy Labels with Self-Ensembling
SELF: Learning to Filter Noisy Labels with Self-Ensembling
Philipp Kratzer
Marc Toussaint
Thi Phuong Nhung Ngo
T. Nguyen
Jim Mainprice
Thomas Brox
NoLa
22
308
0
04 Oct 2019
Spatio-Temporal FAST 3D Convolutions for Human Action Recognition
Spatio-Temporal FAST 3D Convolutions for Human Action Recognition
Alexandros Stergiou
R. Poppe
3DH
12
19
0
30 Sep 2019
Reducing Transformer Depth on Demand with Structured Dropout
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan
Edouard Grave
Armand Joulin
19
584
0
25 Sep 2019
Balanced One-shot Neural Architecture Optimization
Balanced One-shot Neural Architecture Optimization
Renqian Luo
Tao Qin
Enhong Chen
BDL
22
14
0
24 Sep 2019
Empirical study towards understanding line search approximations for
  training neural networks
Empirical study towards understanding line search approximations for training neural networks
Younghwan Chae
D. Wilke
6
11
0
15 Sep 2019
Pixel-wise Segmentation of Right Ventricle of Heart
Pixel-wise Segmentation of Right Ventricle of Heart
Yaman Dang
Deepak Anand
A. Sethi
11
5
0
21 Aug 2019
How Does Learning Rate Decay Help Modern Neural Networks?
How Does Learning Rate Decay Help Modern Neural Networks?
Kaichao You
Mingsheng Long
Jianmin Wang
Michael I. Jordan
17
4
0
05 Aug 2019
Attentive Normalization
Attentive Normalization
Xilai Li
Wei Sun
Tianfu Wu
OOD
ViT
20
31
0
04 Aug 2019
Adaptive Regularization via Residual Smoothing in Deep Learning
  Optimization
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization
Jung-Kyun Cho
Junseok Kwon
Byung-Woo Hong
21
1
0
23 Jul 2019
XferNAS: Transfer Neural Architecture Search
XferNAS: Transfer Neural Architecture Search
Martin Wistuba
21
12
0
18 Jul 2019
A Unified Deep Framework for Joint 3D Pose Estimation and Action
  Recognition from a Single RGB Camera
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera
H. Pham
H. Salmane
L. Khoudour
Alain Crouzil
Pablo Zegers
S. Velastín
18
46
0
16 Jul 2019
Learning Data Augmentation Strategies for Object Detection
Learning Data Augmentation Strategies for Object Detection
Barret Zoph
E. D. Cubuk
Golnaz Ghiasi
Tsung-Yi Lin
Jonathon Shlens
Quoc V. Le
25
523
0
26 Jun 2019
Learning Deep Image Priors for Blind Image Denoising
Learning Deep Image Priors for Blind Image Denoising
Xianxu Hou
Hongming Luo
Jingxin Liu
Bolei Xu
Ke Sun
Yuanhao Gong
Bozhi Liu
Guoping Qiu
19
7
0
04 Jun 2019
Adaptive Stochastic Natural Gradient Method for One-Shot Neural
  Architecture Search
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
Youhei Akimoto
Shinichi Shirakawa
Nozomu Yoshinari
Kento Uchida
Shota Saito
K. Nishida
19
86
0
21 May 2019
Training CNNs with Selective Allocation of Channels
Training CNNs with Selective Allocation of Channels
Jongheon Jeong
Jinwoo Shin
CVBM
31
15
0
11 May 2019
Segmentation is All You Need
Segmentation is All You Need
Zehua Cheng
Yuxiang Wu
Zhenghua Xu
Thomas Lukasiewicz
Weiyan Wang
25
20
0
30 Apr 2019
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the
  Limbo of Resources
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources
Haibin Lin
Hang Zhang
Yifei Ma
Tong He
Zhi-Li Zhang
Sheng Zha
Mu Li
17
23
0
26 Apr 2019
Attention Augmented Convolutional Networks
Attention Augmented Convolutional Networks
Irwan Bello
Barret Zoph
Ashish Vaswani
Jonathon Shlens
Quoc V. Le
28
1,000
0
22 Apr 2019
EvalNorm: Estimating Batch Normalization Statistics for Evaluation
EvalNorm: Estimating Batch Normalization Statistics for Evaluation
Saurabh Singh
Abhinav Shrivastava
18
51
0
12 Apr 2019
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an
  Ensemble of Convolutional Neural Networks
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks
Yauhen Babakhin
A. Sanakoyeu
Hirotoshi Kitamura
16
59
0
09 Apr 2019
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
Andrew Hundt
Varun Jain
Gregory Hager
OOD
22
66
0
23 Mar 2019
Interpolation Consistency Training for Semi-Supervised Learning
Interpolation Consistency Training for Semi-Supervised Learning
Vikas Verma
Kenji Kawaguchi
Alex Lamb
Juho Kannala
Arno Solin
Yoshua Bengio
David Lopez-Paz
11
756
0
09 Mar 2019
Modulated binary cliquenet
Modulated binary cliquenet
Jinpeng Xia
Jiasong Wu
Youyong Kong
Pinzheng Zhang
L. Senhadji
H. Shu
MQ
8
0
0
27 Feb 2019
Deep Learning Based Video System for Accurate and Real-Time Parking
  Measurement
Deep Learning Based Video System for Accurate and Real-Time Parking Measurement
B. Cai
Ricardo Alvarez
M. Sit
Fábio Duarte
C. Ratti
HAI
16
53
0
20 Feb 2019
Artificial Intelligence for Prosthetics - challenge solutions
Artificial Intelligence for Prosthetics - challenge solutions
L. Kidzinski
Carmichael F. Ong
Sharada Mohanty
Jennifer Hicks
Sean F. Carroll
...
E. Tumer
J. Watson
M. Salathé
Sergey Levine
Scott L. Delp
13
40
0
07 Feb 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty
Using Pre-Training Can Improve Model Robustness and Uncertainty
Dan Hendrycks
Kimin Lee
Mantas Mazeika
NoLa
12
717
0
28 Jan 2019
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale
  Neural Architecture Search
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search
Jiemin Fang
Yukang Chen
Xinbang Zhang
Qian Zhang
Chang Huang
Gaofeng Meng
Wenyu Liu
Xinggang Wang
25
24
0
17 Jan 2019
Learning representations of molecules and materials with atomistic
  neural networks
Learning representations of molecules and materials with atomistic neural networks
Kristof T. Schütt
A. Tkatchenko
K. Müller
NAI
14
13
0
11 Dec 2018
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
11
1,450
0
11 Dec 2018
ESPNetv2: A Light-weight, Power Efficient, and General Purpose
  Convolutional Neural Network
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
Sachin Mehta
Mohammad Rastegari
Linda G. Shapiro
Hannaneh Hajishirzi
VLM
15
392
0
28 Nov 2018
Attention-Based Deep Neural Networks for Detection of Cancerous and
  Precancerous Esophagus Tissue on Histopathological Slides
Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides
Naofumi Tomita
B. Abdollahi
Jason W. Wei
Bing Ren
A. Suriawinata
Saeed Hassanpour
MedIm
23
166
0
20 Nov 2018
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic
  Algorithm
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
Zhichao Lu
Ian Whalen
Vishnu Naresh Boddeti
Yashesh D. Dhebar
Kalyanmoy Deb
E. Goodman
W. Banzhaf
23
81
0
08 Oct 2018
Adaptive Input Representations for Neural Language Modeling
Adaptive Input Representations for Neural Language Modeling
Alexei Baevski
Michael Auli
11
386
0
28 Sep 2018
Towards Understanding Regularization in Batch Normalization
Towards Understanding Regularization in Batch Normalization
Ping Luo
Xinjiang Wang
Wenqi Shao
Zhanglin Peng
MLT
AI4CE
8
179
0
04 Sep 2018
PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection
  Track
PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track
Takuya Akiba
Tommi Kerola
Yusuke Niitani
Toru Ogawa
Shotaro Sano
Shuji Suzuki
14
20
0
04 Sep 2018
Don't Use Large Mini-Batches, Use Local SGD
Don't Use Large Mini-Batches, Use Local SGD
Tao R. Lin
Sebastian U. Stich
Kumar Kshitij Patel
Martin Jaggi
22
429
0
22 Aug 2018
Previous
123...242526
Next