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Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)

Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

23 November 2015
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
ArXivPDFHTML

Papers citing "Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)"

50 / 703 papers shown
Title
A Generative Model based Adversarial Security of Deep Learning and
  Linear Classifier Models
A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models
Ferhat Ozgur Catak
Samed Sivaslioglu
Kevser Sahinbas
AAML
23
7
0
17 Oct 2020
Permutation invariant networks to learn Wasserstein metrics
Permutation invariant networks to learn Wasserstein metrics
Arijit Sehanobish
N. Ravindra
David van Dijk
OOD
22
2
0
12 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded
  Adversarial Examples
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Sven Gowal
Chongli Qin
J. Uesato
Timothy A. Mann
Pushmeet Kohli
AAML
17
324
0
07 Oct 2020
Improving Sequential Latent Variable Models with Autoregressive Flows
Improving Sequential Latent Variable Models with Autoregressive Flows
Joseph Marino
Lei Chen
Jiawei He
Stephan Mandt
BDL
AI4TS
30
12
0
07 Oct 2020
Representation Learning for Sequence Data with Deep Autoencoding
  Predictive Components
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai
Weiran Wang
Yingbo Zhou
Caiming Xiong
SSL
AI4TS
27
12
0
07 Oct 2020
Mastering Atari with Discrete World Models
Mastering Atari with Discrete World Models
Danijar Hafner
Timothy Lillicrap
Mohammad Norouzi
Jimmy Ba
DRL
48
814
0
05 Oct 2020
Self-Supervised Variational Auto-Encoders
Self-Supervised Variational Auto-Encoders
Ioannis Gatopoulos
Jakub M. Tomczak
32
13
0
05 Oct 2020
The Surprising Power of Graph Neural Networks with Random Node
  Initialization
The Surprising Power of Graph Neural Networks with Random Node Initialization
Ralph Abboud
.Ismail .Ilkan Ceylan
Martin Grohe
Thomas Lukasiewicz
36
216
0
02 Oct 2020
Rethinking Attention with Performers
Rethinking Attention with Performers
K. Choromanski
Valerii Likhosherstov
David Dohan
Xingyou Song
Andreea Gane
...
Afroz Mohiuddin
Lukasz Kaiser
David Belanger
Lucy J. Colwell
Adrian Weller
43
1,521
0
30 Sep 2020
DeepRemaster: Temporal Source-Reference Attention Networks for
  Comprehensive Video Enhancement
DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement
S. Iizuka
E. Simo-Serra
27
39
0
18 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
34
79
0
17 Sep 2020
Efficient Transformers: A Survey
Efficient Transformers: A Survey
Yi Tay
Mostafa Dehghani
Dara Bahri
Donald Metzler
VLM
114
1,102
0
14 Sep 2020
Complexity Measures for Neural Networks with General Activation
  Functions Using Path-based Norms
Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms
Zhong Li
Chao Ma
Lei Wu
28
24
0
14 Sep 2020
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning
Jian Hu
Seth Austin Harding
Haibin Wu
Siyue Hu
Shih-Wei Liao
29
9
0
09 Sep 2020
Computational Design of Cold Bent Glass Façades
Computational Design of Cold Bent Glass Façades
K. Gavriil
R. Guseinov
J. Pérez
Davide Pellis
Paul Henderson
F. Rist
H. Pottmann
Bernd Bickel
14
21
0
08 Sep 2020
Beyond Point Estimate: Inferring Ensemble Prediction Variation from
  Neuron Activation Strength in Recommender Systems
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems
Zhe Chen
Yuyan Wang
Dong Lin
D. Cheng
Lichan Hong
Ed H. Chi
Claire Cui
28
16
0
17 Aug 2020
An autoencoder-based reduced-order model for eigenvalue problems with
  application to neutron diffusion
An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion
Toby R. F. Phillips
Claire E. Heaney
Paul N. Smith
Christopher C. Pain
34
57
0
15 Aug 2020
Structure Preserving Stain Normalization of Histopathology Images Using
  Self-Supervised Semantic Guidance
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance
Dwarikanath Mahapatra
Behzad Bozorgtabar
Jean-Philippe Thiran
Ling Shao
MedIm
16
46
0
05 Aug 2020
When is invariance useful in an Out-of-Distribution Generalization
  problem ?
When is invariance useful in an Out-of-Distribution Generalization problem ?
Masanori Koyama
Shoichiro Yamaguchi
OOD
34
65
0
04 Aug 2020
Reconstructing NBA Players
Reconstructing NBA Players
Luyang Zhu
Konstantinos Rematas
Brian L. Curless
S. M. Seitz
Ira Kemelmacher-Shlizerman
3DH
16
41
0
27 Jul 2020
Learning to Read and Follow Music in Complete Score Sheet Images
Learning to Read and Follow Music in Complete Score Sheet Images
Florian Henkel
Rainer Kelz
Gerhard Widmer
16
11
0
21 Jul 2020
Inductive Link Prediction for Nodes Having Only Attribute Information
Inductive Link Prediction for Nodes Having Only Attribute Information
Yu Hao
Xin Cao
Yixiang Fang
Xike Xie
Sibo Wang
22
76
0
16 Jul 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
H. Hafidi
Mounir Ghogho
P. Ciblat
A. Swami
SSL
28
53
0
15 Jul 2020
Improving the Robustness of Trading Strategy Backtesting with Boltzmann
  Machines and Generative Adversarial Networks
Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks
Edmond Lezmi
Jules Roche
T. Roncalli
Jiali Xu
26
6
0
09 Jul 2020
Deep Isometric Learning for Visual Recognition
Deep Isometric Learning for Visual Recognition
Haozhi Qi
Chong You
Xinyu Wang
Yi Ma
Jitendra Malik
VLM
30
53
0
30 Jun 2020
Self-supervised edge features for improved Graph Neural Network training
Self-supervised edge features for improved Graph Neural Network training
Arijit Sehanobish
N. Ravindra
David van Dijk
SSL
18
6
0
23 Jun 2020
Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic
  Prediction with Navigation Data
Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data
Rui Dai
Shenkun Xu
Qian Gu
Chenguang Ji
Kaikui Liu
AI4TS
24
101
0
23 Jun 2020
Efficient Hyperparameter Optimization in Deep Learning Using a Variable
  Length Genetic Algorithm
Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm
Xueli Xiao
Ming Yan
S. Basodi
Chunyan Ji
Yi Pan
13
90
0
23 Jun 2020
What Do Neural Networks Learn When Trained With Random Labels?
What Do Neural Networks Learn When Trained With Random Labels?
Hartmut Maennel
Ibrahim M. Alabdulmohsin
Ilya O. Tolstikhin
R. Baldock
Olivier Bousquet
Sylvain Gelly
Daniel Keysers
FedML
48
87
0
18 Jun 2020
Deep Network for Scatterer Distribution Estimation for Ultrasound Image
  Simulation
Deep Network for Scatterer Distribution Estimation for Ultrasound Image Simulation
Lin Zhang
V. Vishnevskiy
O. Goksel
OOD
22
15
0
17 Jun 2020
Improved Techniques for Training Score-Based Generative Models
Improved Techniques for Training Score-Based Generative Models
Yang Song
Stefano Ermon
DiffM
51
1,120
0
16 Jun 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and
  Adversarial Robustness
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness
Mohammadamin Tavakoli
Forest Agostinelli
Pierre Baldi
AAML
FAtt
36
39
0
16 Jun 2020
Cardiac Segmentation with Strong Anatomical Guarantees
Cardiac Segmentation with Strong Anatomical Guarantees
Nathan Painchaud
Youssef Skandarani
Thierry Judge
Olivier Bernard
A. Lalande
Pierre-Marc Jodoin
33
99
0
15 Jun 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges
  and How to Overcome Them
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
Chen Liu
Mathieu Salzmann
Tao R. Lin
Ryota Tomioka
Sabine Süsstrunk
AAML
24
81
0
15 Jun 2020
Primal Wasserstein Imitation Learning
Primal Wasserstein Imitation Learning
Robert Dadashi
Léonard Hussenot
M. Geist
Olivier Pietquin
26
124
0
08 Jun 2020
Propositionalization and Embeddings: Two Sides of the Same Coin
Propositionalization and Embeddings: Two Sides of the Same Coin
Nada Lavrac
Blaž Škrlj
Marko Robnik-Šikonja
12
26
0
08 Jun 2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement
  Learning
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
Shariq Iqbal
Christian Schroeder de Witt
Bei Peng
Wendelin Bohmer
Shimon Whiteson
Fei Sha
29
64
0
07 Jun 2020
Stable and expressive recurrent vision models
Stable and expressive recurrent vision models
Drew Linsley
A. Ashok
L. Govindarajan
Rex G Liu
Thomas Serre
19
44
0
22 May 2020
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object
  Detection
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection
Alex Bewley
Pei Sun
Thomas Mensink
Dragomir Anguelov
C. Sminchisescu
3DPC
33
113
0
20 May 2020
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory
  Prediction
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction
Alessia Bertugli
Simone Calderara
Pasquale Coscia
Lamberto Ballan
Rita Cucchiara
31
28
0
17 May 2020
Clinical Predictive Models for COVID-19: Systematic Study
Clinical Predictive Models for COVID-19: Systematic Study
Patrick Schwab
August DuMont Schütte
Benedikt Dietz
Stefan Bauer
OOD
ELM
42
35
0
17 May 2020
Non-Linearities Improve OrigiNet based on Active Imaging for Micro
  Expression Recognition
Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition
Monu Verma
Santosh Kumar Vipparthi
Girdhari Singh
29
15
0
16 May 2020
Classification of Arrhythmia by Using Deep Learning with 2-D ECG
  Spectral Image Representation
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation
Amin Ullah
Syed Muhammad Anwar
Muhammad Bilal
Raja Majid Mehmood
12
166
0
14 May 2020
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network
David Gschwend
35
64
0
14 May 2020
A survey on modern trainable activation functions
A survey on modern trainable activation functions
Andrea Apicella
Francesco Donnarumma
Francesco Isgrò
R. Prevete
36
365
0
02 May 2020
UAV and Machine Learning Based Refinement of a Satellite-Driven
  Vegetation Index for Precision Agriculture
UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture
Vittorio Mazzia
L. Comba
Aleem Khaliq
Marcello Chiaberge
P. Gay
29
95
0
29 Apr 2020
An Explainable Deep Learning-based Prognostic Model for Rotating
  Machinery
An Explainable Deep Learning-based Prognostic Model for Rotating Machinery
Namkyoung Lee
M. Azarian
M. Pecht
8
14
0
28 Apr 2020
A Perspective on Deep Learning for Molecular Modeling and Simulations
A Perspective on Deep Learning for Molecular Modeling and Simulations
Jun Zhang
Yao-Kun Lei
Zhen Zhang
Junhan Chang
Maodong Li
Xu Han
Lijiang Yang
Yuqing Yang
Y. Gao
AI4CE
37
8
0
25 Apr 2020
A Light CNN for detecting COVID-19 from CT scans of the chest
A Light CNN for detecting COVID-19 from CT scans of the chest
M. Polsinelli
Luigi Cinque
G. Placidi
OOD
19
272
0
24 Apr 2020
Partial Volume Segmentation of Brain MRI Scans of any Resolution and
  Contrast
Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast
Benjamin Billot
Eleanor D. Robinson
Adrian V. Dalca
Juan Eugenio Iglesias
24
35
0
21 Apr 2020
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