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On the Variance of the Adaptive Learning Rate and Beyond
v1v2v3v4 (latest)

On the Variance of the Adaptive Learning Rate and Beyond

8 August 2019
Liyuan Liu
Haoming Jiang
Pengcheng He
Weizhu Chen
Xiaodong Liu
Jianfeng Gao
Jiawei Han
    ODL
ArXiv (abs)PDFHTMLGithub (2548★)

Papers citing "On the Variance of the Adaptive Learning Rate and Beyond"

50 / 864 papers shown
Title
CRNNs for Urban Sound Tagging with spatiotemporal context
CRNNs for Urban Sound Tagging with spatiotemporal context
Augustin Arnault
Nicolas Riche
58
7
0
24 Aug 2020
Automating the assessment of biofouling in images using expert agreement
  as a gold standard
Automating the assessment of biofouling in images using expert agreement as a gold standard
N. Bloomfield
Susan Wei
Bartholomew Woodham
Peter Wilkinson
Andrew Robinson
61
18
0
21 Aug 2020
PTT5: Pretraining and validating the T5 model on Brazilian Portuguese
  data
PTT5: Pretraining and validating the T5 model on Brazilian Portuguese data
Diedre Carmo
Marcos Piau
Israel Campiotti
Rodrigo Nogueira
R. Lotufo
LM&MA
79
52
0
20 Aug 2020
TRU-NET: A Deep Learning Approach to High Resolution Prediction of
  Rainfall
TRU-NET: A Deep Learning Approach to High Resolution Prediction of Rainfall
Rilwan A. Adewoyin
P. Dueben
P. Watson
Yulan He
Ritabrata Dutta
AI4CE
54
70
0
20 Aug 2020
SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from
  Wearable Cameras
SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras
Asif Sushmit
Partho Ghosh
Md. Abrar Istiak
Nayeeb Rashid
Ahsan Habib Akash
Taufiq Hasan
23
3
0
19 Aug 2020
Deep Volumetric Ambient Occlusion
Deep Volumetric Ambient Occlusion
Dominik Engel
Timo Ropinski
77
22
0
19 Aug 2020
Very Deep Transformers for Neural Machine Translation
Very Deep Transformers for Neural Machine Translation
Xiaodong Liu
Kevin Duh
Liyuan Liu
Jianfeng Gao
87
104
0
18 Aug 2020
Adaptive Hierarchical Hyper-gradient Descent
Adaptive Hierarchical Hyper-gradient Descent
Renlong Jie
Junbin Gao
A. Vasnev
Minh-Ngoc Tran
54
5
0
17 Aug 2020
Spherical coordinates transformation pre-processing in Deep Convolution
  Neural Networks for brain tumor segmentation in MRI
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI
C. Russo
Sidong Liu
A. Di Ieva
105
22
0
17 Aug 2020
Null-sampling for Interpretable and Fair Representations
Null-sampling for Interpretable and Fair Representations
T. Kehrenberg
Myles Bartlett
Oliver Thomas
Novi Quadrianto
OOD
41
29
0
12 Aug 2020
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation
  Synergized with Semantic Segmentation for Autonomous Driving
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving
V. Kumar
Marvin Klingner
S. Yogamani
Stefan Milz
Tim Fingscheidt
Patrick Mäder
MDE
128
81
0
10 Aug 2020
Lane Detection Model Based on Spatio-Temporal Network With Double
  Convolutional Gated Recurrent Units
Lane Detection Model Based on Spatio-Temporal Network With Double Convolutional Gated Recurrent Units
Jiyong Zhang
T. Deng
Fei Yan
Wenbo Liu
90
2
0
10 Aug 2020
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
Sai Praneeth Karimireddy
Martin Jaggi
Satyen Kale
M. Mohri
Sashank J. Reddi
Sebastian U. Stich
A. Suresh
FedML
170
218
0
08 Aug 2020
Why to "grow" and "harvest" deep learning models?
Why to "grow" and "harvest" deep learning models?
I. Kulikovskikh
Tarzan Legović
VLM
24
0
0
08 Aug 2020
Unsupervised Cross-Domain Singing Voice Conversion
Unsupervised Cross-Domain Singing Voice Conversion
Adam Polyak
Lior Wolf
Yossi Adi
Yaniv Taigman
58
44
0
06 Aug 2020
HooliGAN: Robust, High Quality Neural Vocoding
HooliGAN: Robust, High Quality Neural Vocoding
Ollie McCarthy
Zo Ahmed
95
14
0
06 Aug 2020
Learning Visual Representations with Caption Annotations
Learning Visual Representations with Caption Annotations
Mert Bulent Sariyildiz
J. Perez
Diane Larlus
VLMSSL
119
162
0
04 Aug 2020
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without
  Matched Training Data
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data
Hyungjin Chung
Eunju Cha
Leonard Sunwoo
J. C. Ye
MedIm
89
26
0
04 Aug 2020
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Elad Richardson
Yuval Alaluf
Or Patashnik
Yotam Nitzan
Yaniv Azar
Stav Shapiro
Daniel Cohen-Or
210
1,114
0
03 Aug 2020
Single Image Cloud Detection via Multi-Image Fusion
Single Image Cloud Detection via Multi-Image Fusion
Scott Workman
M. U. Rafique
Hunter Blanton
Connor Greenwell
Nathan Jacobs
24
5
0
29 Jul 2020
Comparative study of deep learning methods for the automatic
  segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
Sofie Tilborghs
Ine Dirks
Lucas Fidon
S. Willems
Tom Eelbode
...
D. Robben
D. Smeets
F. Maes
Jef Vandemeulebroucke
P. Suetens
OOD
87
28
0
29 Jul 2020
AutoClip: Adaptive Gradient Clipping for Source Separation Networks
AutoClip: Adaptive Gradient Clipping for Source Separation Networks
Prem Seetharaman
Gordon Wichern
Bryan Pardo
Jonathan Le Roux
67
34
0
25 Jul 2020
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs
H. Habi
Roy H. Jennings
Arnon Netzer
MQ
72
66
0
20 Jul 2020
Wavelet Channel Attention Module with a Fusion Network for Single Image
  Deraining
Wavelet Channel Attention Module with a Fusion Network for Single Image Deraining
Hao-Hsiang Yang
Chao-Han Huck Yang
Y. Wang
49
30
0
17 Jul 2020
Negative Pseudo Labeling using Class Proportion for Semantic
  Segmentation in Pathology
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology
Hiroki Tokunaga
Brian Kenji Iwana
Y. Teramoto
Akihiko Yoshizawa
Ryoma Bise
135
18
0
16 Jul 2020
UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a
  Generic Framework for Handling Common Camera Distortion Models
UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models
V. Kumar
S. Yogamani
Markus Bach
Christian Witt
Stefan Milz
Patrick Mäder
MDE
90
53
0
13 Jul 2020
ProtTrans: Towards Cracking the Language of Life's Code Through
  Self-Supervised Deep Learning and High Performance Computing
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
Ahmed Elnaggar
M. Heinzinger
Christian Dallago
Ghalia Rehawi
Yu Wang
...
Tamas B. Fehér
Christoph Angerer
Martin Steinegger
D. Bhowmik
B. Rost
DRL
89
967
0
13 Jul 2020
BERT Learns (and Teaches) Chemistry
BERT Learns (and Teaches) Chemistry
Josh Payne
Mario Srouji
Dian Ang Yap
V. Kosaraju
59
10
0
11 Jul 2020
Fast Transformers with Clustered Attention
Fast Transformers with Clustered Attention
Apoorv Vyas
Angelos Katharopoulos
Franccois Fleuret
80
155
0
09 Jul 2020
Tracking-by-Trackers with a Distilled and Reinforced Model
Tracking-by-Trackers with a Distilled and Reinforced Model
Matteo Dunnhofer
N. Martinel
C. Micheloni
VOTOffRL
64
4
0
08 Jul 2020
Descending through a Crowded Valley - Benchmarking Deep Learning
  Optimizers
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
Robin M. Schmidt
Frank Schneider
Philipp Hennig
ODL
217
168
0
03 Jul 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Farshid Varno
Lucas May Petry
Lisa Di-Jorio
Stan Matwin
CLL
60
2
0
02 Jul 2020
Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray
  Images
Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images
Ostap Viniavskyi
Mariia Dobko
Oles Dobosevych
64
26
0
01 Jul 2020
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for
  Vehicle Type, Make and Model Classification
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification
Xingyang Ni
H. Huttunen
CVBM
36
20
0
29 Jun 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear
  Attention
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
Angelos Katharopoulos
Apoorv Vyas
Nikolaos Pappas
Franccois Fleuret
218
1,798
0
29 Jun 2020
Matrix Shuffle-Exchange Networks for Hard 2D Tasks
Matrix Shuffle-Exchange Networks for Hard 2D Tasks
Emīls Ozoliņš
Kārlis Freivalds
A. Sostaks
27
0
0
29 Jun 2020
Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate
  and Momentum
Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
Zeke Xie
Xinrui Wang
Huishuai Zhang
Issei Sato
Masashi Sugiyama
ODL
103
47
0
29 Jun 2020
BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant
  Supervision
BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision
Chen Liang
Yue Yu
Haoming Jiang
Siawpeng Er
Ruijia Wang
T. Zhao
Chao Zhang
OffRL
78
240
0
28 Jun 2020
Taming GANs with Lookahead-Minmax
Taming GANs with Lookahead-Minmax
Tatjana Chavdarova
Matteo Pagliardini
Sebastian U. Stich
François Fleuret
Martin Jaggi
GAN
61
27
0
25 Jun 2020
MRI Image Reconstruction via Learning Optimization Using Neural ODEs
MRI Image Reconstruction via Learning Optimization Using Neural ODEs
Eric Z. Chen
Terrence Chen
Shanhui Sun
125
23
0
24 Jun 2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical
  Predictors
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
Karl Pertsch
Oleh Rybkin
F. Ebert
Chelsea Finn
Dinesh Jayaraman
Sergey Levine
81
73
0
23 Jun 2020
Scribble2Label: Scribble-Supervised Cell Segmentation via
  Self-Generating Pseudo-Labels with Consistency
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with Consistency
Hyeonsoo Lee
Won-Ki Jeong
89
115
0
23 Jun 2020
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and
  Architectures
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures
Julien Launay
Iacopo Poli
Franccois Boniface
Florent Krzakala
127
64
0
23 Jun 2020
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of
  Gradients
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients
Chenfei Zhu
Yu Cheng
Zhe Gan
Furong Huang
Jingjing Liu
Tom Goldstein
ODL
109
2
0
21 Jun 2020
Match$^2$: A Matching over Matching Model for Similar Question
  Identification
Match2^22: A Matching over Matching Model for Similar Question Identification
Zizhen Wang
Yixing Fan
Jiafeng Guo
Liu Yang
Ruqing Zhang
Yanyan Lan
Xueqi Cheng
Hui Jiang
Xiaozhao Wang
122
15
0
21 Jun 2020
Training (Overparametrized) Neural Networks in Near-Linear Time
Training (Overparametrized) Neural Networks in Near-Linear Time
Jan van den Brand
Binghui Peng
Zhao Song
Omri Weinstein
ODL
91
83
0
20 Jun 2020
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Duo Wang
M. Jamnik
Pietro Lio
58
66
0
19 Jun 2020
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and
  Interpolation
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation
Robert Mansel Gower
Othmane Sebbouh
Nicolas Loizou
135
76
0
18 Jun 2020
Categorical Normalizing Flows via Continuous Transformations
Categorical Normalizing Flows via Continuous Transformations
Phillip Lippe
E. Gavves
BDL
136
44
0
17 Jun 2020
Deep Learning based Segmentation of Fish in Noisy Forward Looking MBES
  Images
Deep Learning based Segmentation of Fish in Noisy Forward Looking MBES Images
J. H. Christensen
L. V. Mogensen
Ole Ravn
46
17
0
16 Jun 2020
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