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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 / 4,280 papers shown
Title
MiniVLM: A Smaller and Faster Vision-Language Model
MiniVLM: A Smaller and Faster Vision-Language Model
Jianfeng Wang
Xiaowei Hu
Pengchuan Zhang
Xiujun Li
Lijuan Wang
Lefei Zhang
Jianfeng Gao
Zicheng Liu
VLM
MLLM
35
59
0
13 Dec 2020
Mask Guided Matting via Progressive Refinement Network
Mask Guided Matting via Progressive Refinement Network
Qihang Yu
Jianming Zhang
He Zhang
Yilin Wang
Zhe Lin
N. Xu
Yutong Bai
Alan Yuille
44
112
0
12 Dec 2020
Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D
  networks with label uncertainty
Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D networks with label uncertainty
Richard McKinley
M. Rebsamen
Katrin Daetwyler
Raphael Meier
Piotr Radojewski
Roland Wiest
3DV
26
26
0
11 Dec 2020
Recent Theoretical Advances in Non-Convex Optimization
Recent Theoretical Advances in Non-Convex Optimization
Marina Danilova
Pavel Dvurechensky
Alexander Gasnikov
Eduard A. Gorbunov
Sergey Guminov
Dmitry Kamzolov
Innokentiy Shibaev
38
77
0
11 Dec 2020
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray
  Images
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images
M. J. Horry
Subrata Chakraborty
B. Pradhan
M. Paul
D. Gomes
Anwaar-ul Haq
23
11
0
10 Dec 2020
Kernelized Classification in Deep Networks
Kernelized Classification in Deep Networks
Sadeep Jayasumana
Srikumar Ramalingam
Sanjiv Kumar
18
4
0
08 Dec 2020
MERANet: Facial Micro-Expression Recognition using 3D Residual Attention
  Network
MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network
G. V. Reddy
S. Reddy
Snehasis Mukherjee
S. Dubey
3DH
CVBM
27
13
0
07 Dec 2020
Fine-grained Angular Contrastive Learning with Coarse Labels
Fine-grained Angular Contrastive Learning with Coarse Labels
Guy Bukchin
Eli Schwartz
Kate Saenko
Ori Shahar
Rogerio Feris
Raja Giryes
Leonid Karlinsky
41
52
0
07 Dec 2020
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point
  Cloud
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
Wu Zheng
Weiliang Tang
Sijin Chen
Li Jiang
Chi-Wing Fu
3DPC
34
289
0
05 Dec 2020
Seed the Views: Hierarchical Semantic Alignment for Contrastive
  Representation Learning
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning
Haohang Xu
Xiaopeng Zhang
Hao Li
Lingxi Xie
H. Xiong
Qi Tian
SSL
16
12
0
04 Dec 2020
BasicVSR: The Search for Essential Components in Video Super-Resolution
  and Beyond
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
Kelvin C. K. Chan
Xintao Wang
Ke Yu
Chao Dong
Chen Change Loy
SupR
22
444
0
03 Dec 2020
Traffic4cast 2020 -- Graph Ensemble Net and the Importance of Feature
  And Loss Function Design for Traffic Prediction
Traffic4cast 2020 -- Graph Ensemble Net and the Importance of Feature And Loss Function Design for Traffic Prediction
Qi Qi
Pak Hay Kwok
27
9
0
03 Dec 2020
Semi-Supervised Learning with Variational Bayesian Inference and Maximum
  Uncertainty Regularization
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
Kien Do
T. Tran
Svetha Venkatesh
BDL
22
3
0
03 Dec 2020
Joint gender and age estimation based on speech signals using x-vectors
  and transfer learning
Joint gender and age estimation based on speech signals using x-vectors and transfer learning
Damian Kwaśny
Daria Hemmerling
22
11
0
02 Dec 2020
Supertagging the Long Tail with Tree-Structured Decoding of Complex
  Categories
Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories
Jakob Prange
Nathan Schneider
Vivek Srikumar
26
23
0
02 Dec 2020
Improving Accuracy of Binary Neural Networks using Unbalanced Activation
  Distribution
Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution
Hyungjun Kim
Jihoon Park
Chang-Ho Lee
Jae-Joon Kim
MQ
20
30
0
02 Dec 2020
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning
Zhuowei Wang
Jing Jiang
Bo Han
Lei Feng
Bo An
Gang Niu
Guodong Long
NoLa
35
17
0
02 Dec 2020
GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution
GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution
Kelvin C. K. Chan
Xintao Wang
Xiangyu Xu
Liang Feng
Chen Change Loy
51
250
0
01 Dec 2020
Disentangling Label Distribution for Long-tailed Visual Recognition
Disentangling Label Distribution for Long-tailed Visual Recognition
Youngkyu Hong
Seungju Han
Kwanghee Choi
Seokjun Seo
Beomsu Kim
Buru Chang
22
231
0
01 Dec 2020
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization
  for Efficient Video Classification
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification
Youngwan Lee
Hyungil Kim
Kimin Yun
Jinyoung Moon
26
12
0
01 Dec 2020
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent
  Unsupervised Learning Using Mutual Information Maximization
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization
Hanchen Xie
Mohamed E. Hussein
Aram Galstyan
Wael Abd-Almageed
SSL
31
8
0
30 Nov 2020
Look who's not talking
Look who's not talking
Youngki Kwon
Hee-Soo Heo
Jaesung Huh
Bong-Jin Lee
Joon Son Chung
4
29
0
30 Nov 2020
SelectScale: Mining More Patterns from Images via Selective and Soft
  Dropout
SelectScale: Mining More Patterns from Images via Selective and Soft Dropout
Zhengsu Chen
J. Niu
Xuefeng Liu
Shaojie Tang
25
1
0
30 Nov 2020
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual
  Recognition
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition
Hsin-Pai Cheng
Feng Liang
Meng Li
Bowen Cheng
Feng Yan
H. Li
Vikas Chandra
Yiran Chen
22
9
0
30 Nov 2020
Fully Quantized Image Super-Resolution Networks
Fully Quantized Image Super-Resolution Networks
Hu Wang
Peng Chen
Bohan Zhuang
Chunhua Shen
SupR
MQ
29
30
0
29 Nov 2020
Multi-objective Neural Architecture Search with Almost No Training
Multi-objective Neural Architecture Search with Almost No Training
Shengran Hu
Ran Cheng
Cheng He
Zhichao Lu
19
6
0
27 Nov 2020
Automatic Detection of Cardiac Chambers Using an Attention-based YOLOv4
  Framework from Four-chamber View of Fetal Echocardiography
Automatic Detection of Cardiac Chambers Using an Attention-based YOLOv4 Framework from Four-chamber View of Fetal Echocardiography
Sibo Qiao
Shanchen Pang
G. Luo
S. Pan
Xun Wang
Min Wang
Xue Zhai
Taotao Chen
23
8
0
26 Nov 2020
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image
  Segmentation
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation
Yutong Xie
Jianpeng Zhang
Zehui Liao
Yong-quan Xia
Chunhua Shen
21
47
0
25 Nov 2020
Cross-Camera Convolutional Color Constancy
Cross-Camera Convolutional Color Constancy
Mahmoud Afifi
Jonathan T. Barron
Chloe LeGendre
Yun-Ta Tsai
Francois Bleibel
13
40
0
24 Nov 2020
SMG: A Shuffling Gradient-Based Method with Momentum
SMG: A Shuffling Gradient-Based Method with Momentum
Trang H. Tran
Lam M. Nguyen
Quoc Tran-Dinh
28
21
0
24 Nov 2020
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
Chengyue Gong
Dilin Wang
Meng Li
Vikas Chandra
Qiang Liu
33
113
0
23 Nov 2020
On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A
  Gradient-Norm Perspective
On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective
Zeke Xie
Zhiqiang Xu
Jingzhao Zhang
Issei Sato
Masashi Sugiyama
19
22
0
23 Nov 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
94
3,976
0
20 Nov 2020
VLG-Net: Video-Language Graph Matching Network for Video Grounding
VLG-Net: Video-Language Graph Matching Network for Video Grounding
Mattia Soldan
Mengmeng Xu
Sisi Qu
Jesper N. Tegnér
Guohao Li
35
69
0
19 Nov 2020
An Efficient and Scalable Deep Learning Approach for Road Damage
  Detection
An Efficient and Scalable Deep Learning Approach for Road Damage Detection
Sadra Naddaf-sh
M.-Mahdi Naddaf-Sh
Amir R. Kashani
H. Zargarzadeh
30
57
0
18 Nov 2020
Dual-stream Multiple Instance Learning Network for Whole Slide Image
  Classification with Self-supervised Contrastive Learning
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
Bin Li
Yin Li
K. Eliceiri
14
594
0
17 Nov 2020
Analyzing and Mitigating JPEG Compression Defects in Deep Learning
Analyzing and Mitigating JPEG Compression Defects in Deep Learning
Max Ehrlich
Larry S. Davis
Ser-Nam Lim
Abhinav Shrivastava
22
20
0
17 Nov 2020
Non-trivial symmetries in quantum landscapes and their resilience to
  quantum noise
Non-trivial symmetries in quantum landscapes and their resilience to quantum noise
Enrico Fontana
M. Cerezo
A. Arrasmith
I. Rungger
Patrick J. Coles
32
22
0
17 Nov 2020
3D CNNs with Adaptive Temporal Feature Resolutions
3D CNNs with Adaptive Temporal Feature Resolutions
Mohsen Fayyaz
Emad Bahrami Rad
Ali Diba
M. Noroozi
Ehsan Adeli
Luc Van Gool
Juergen Gall
3DPC
24
30
0
17 Nov 2020
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using
  Accelerated Neuroevolution with Weight Transfer
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Accelerated Neuroevolution with Weight Transfer
William J. McNally
Kanav Vats
Alexander Wong
J. McPhee
3DH
32
16
0
17 Nov 2020
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised
  Representations from Self-Trained Negative Adversaries
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
Q. Hu
Tianlin Li
Wei Hu
Guo-Jun Qi
SSL
17
153
0
17 Nov 2020
Sub-clusters of Normal Data for Anomaly Detection
Sub-clusters of Normal Data for Anomaly Detection
Gahye Lee
Seungkyu Lee
OOD
20
0
0
17 Nov 2020
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
Lijing Wang
Dipanjan Ghosh
Maria Teresa Gonzalez Diaz
Ahmed K. Farahat
M. Alam
Chetan Gupta
Jiangzhuo Chen
Madhav Marathe
28
10
0
13 Nov 2020
Filter Pre-Pruning for Improved Fine-tuning of Quantized Deep Neural
  Networks
Filter Pre-Pruning for Improved Fine-tuning of Quantized Deep Neural Networks
Jun Nishikawa
Ryoji Ikegaya
MQ
23
1
0
13 Nov 2020
Where to drive: free space detection with one fisheye camera
Where to drive: free space detection with one fisheye camera
Tobias Scheck
Adarsh Mallandur
C. Wiede
G. Hirtz
27
7
0
11 Nov 2020
Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor
  Dataset for Deep Transfer Learning
Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning
Tobias Scheck
Roman Seidel
G. Hirtz
27
22
0
11 Nov 2020
Noise2Stack: Improving Image Restoration by Learning from Volumetric
  Data
Noise2Stack: Improving Image Restoration by Learning from Volumetric Data
Mikhail Papkov
Kenny Roberts
Lee Ann Madissoon
Ö. Bayraktar
D. Fishman
K. Palo
L. Parts
14
9
0
10 Nov 2020
Ontology-driven Event Type Classification in Images
Ontology-driven Event Type Classification in Images
Eric Müller-Budack
Matthias Springstein
Sherzod Hakimov
Kevin Mrutzek
Ralph Ewerth
24
9
0
09 Nov 2020
Towards Domain-Agnostic Contrastive Learning
Towards Domain-Agnostic Contrastive Learning
Vikas Verma
Minh-Thang Luong
Kenji Kawaguchi
Hieu H. Pham
Quoc V. Le
SSL
15
116
0
09 Nov 2020
Depthwise Multiception Convolution for Reducing Network Parameters
  without Sacrificing Accuracy
Depthwise Multiception Convolution for Reducing Network Parameters without Sacrificing Accuracy
Guoqing Bao
M. Graeber
Xiuying Wang
13
5
0
07 Nov 2020
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