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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 / 654 papers shown
Title
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints
Peter Röseler
Oliver Schaudt
Helmut Berg
Christian Bauckhage
Matthias Koch
29
0
0
09 May 2025
How to Train Your Metamorphic Deep Neural Network
How to Train Your Metamorphic Deep Neural Network
Thomas Sommariva
Simone Calderara
Angelo Porrello
28
0
0
07 May 2025
ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization
ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization
Md Rahat-uz- Zaman
Bei Wang
Paul Rosen
21
0
0
06 May 2025
MergeGuard: Efficient Thwarting of Trojan Attacks in Machine Learning Models
MergeGuard: Efficient Thwarting of Trojan Attacks in Machine Learning Models
Soheil Zibakhsh Shabgahi
Yaman Jandali
F. Koushanfar
MoMe
AAML
57
0
0
06 May 2025
Comparing statistical and deep learning techniques for parameter estimation of continuous-time stochastic differentiable equations
Comparing statistical and deep learning techniques for parameter estimation of continuous-time stochastic differentiable equations
Aroon Sankoh
Victor Wickerhauser
BDL
AI4TS
27
0
0
06 May 2025
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
Davide Sartor
Alberto Sinigaglia
Gian Antonio Susto
34
0
0
05 May 2025
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities
Pramook Khungurn
Pratch Piyawongwisal
Sira Sriswadi
Supasorn Suwajanakorn
34
0
0
02 May 2025
Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion Prediction
Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion Prediction
Ze Zhang
Georg Hess
Junjie Hu
Emmanuel Dean
Lennart Svensson
Knut Åkesson
48
0
0
01 May 2025
Reliable and Efficient Inverse Analysis using Physics-Informed Neural Networks with Distance Functions and Adaptive Weight Tuning
Reliable and Efficient Inverse Analysis using Physics-Informed Neural Networks with Distance Functions and Adaptive Weight Tuning
Shota Deguchi
Mitsuteru Asai
PINN
AI4CE
81
0
0
25 Apr 2025
Shrinkage Initialization for Smooth Learning of Neural Networks
Shrinkage Initialization for Smooth Learning of Neural Networks
Miao Cheng
Feiyan Zhou
Hongwei Zou
Limin Wang
AI4CE
36
0
0
12 Apr 2025
EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding
EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding
Xi Fu
Rui Liu
Aung Aung Phyo Wai
Hannah Pulferer
Neethu Robinson
Gernot R Müller-Putz
Cuntai Guan
26
0
0
02 Apr 2025
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
Yankai Chen
Taotao Wang
Yixiang Fang
Yunyu Xiao
BDL
103
1
0
26 Mar 2025
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection
Tomomasa Yamasaki
Zhehui Wang
Tao Luo
Niangjun Chen
Bo Wang
32
0
0
26 Mar 2025
Informer in Algorithmic Investment Strategies on High Frequency Bitcoin Data
Informer in Algorithmic Investment Strategies on High Frequency Bitcoin Data
Filip Stefaniuk
Robert Ślepaczuk
AIFin
43
0
0
23 Mar 2025
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
Ruobing Jiang
Yacong Li
Haobing Liu
Yanwei Yu
61
0
0
18 Mar 2025
Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds
Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds
Riccardo Mazzieri
Jacopo Pegoraro
Michele Rossi
CVBM
52
1
0
10 Mar 2025
A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards
A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards
Shivansh Patel
Xinchen Yin
Wenlong Huang
Shubham Garg
H. Nayyeri
Li Fei-Fei
Svetlana Lazebnik
Yongqian Li
92
0
0
12 Feb 2025
Deep EEG Super-Resolution: Upsampling EEG Spatial Resolution with Generative Adversarial Networks
Deep EEG Super-Resolution: Upsampling EEG Spatial Resolution with Generative Adversarial Networks
Isaac Corley
Yufei Huang
44
60
0
12 Feb 2025
RobotMover: Learning to Move Large Objects From Human Demonstrations
RobotMover: Learning to Move Large Objects From Human Demonstrations
Tianyu Li
Joanne Truong
Jimmy Yang
Alexander Clegg
Akshara Rai
Sehoon Ha
Xavier Puig
AI4CE
62
0
0
07 Feb 2025
Density Ratio Estimation with Conditional Probability Paths
Density Ratio Estimation with Conditional Probability Paths
Hanlin Yu
Arto Klami
Aapo Hyvarinen
Anna Korba
Omar Chehab
67
0
0
04 Feb 2025
Generative Retrieval for Book search
Generative Retrieval for Book search
Yubao Tang
Ruqing Zhang
J. Guo
Maarten de Rijke
Shihao Liu
S. Wang
Dawei Yin
Xueqi Cheng
RALM
31
0
0
19 Jan 2025
Hadamard Attention Recurrent Transformer: A Strong Baseline for Stereo Matching Transformer
Hadamard Attention Recurrent Transformer: A Strong Baseline for Stereo Matching Transformer
Ziyang Chen
Yongjun Zhang
Wenting Li
Bingshu Wang
Yabo Wu
Yong Zhao
C. L. P. Chen
49
0
0
02 Jan 2025
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
D. Wolf
Alexander Braun
Markus Ulrich
89
0
0
18 Dec 2024
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners
Niklas Hanselmann
Simon Doll
Marius Cordts
Hendrik P. A. Lensch
Andreas Geiger
44
0
0
12 Nov 2024
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
Hyunwoo Lee
Hayoung Choi
Hyunju Kim
39
1
0
03 Oct 2024
The Duke Humanoid: Design and Control For Energy Efficient Bipedal Locomotion Using Passive Dynamics
The Duke Humanoid: Design and Control For Energy Efficient Bipedal Locomotion Using Passive Dynamics
Boxi Xia
Bokuan Li
Jacob Lee
Michael Scutari
Boyuan Chen
AI4CE
31
4
0
29 Sep 2024
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts
Hugo Inzirillo
Remi Genet
MoE
35
4
0
23 Sep 2024
Graph Convolutional Neural Networks as Surrogate Models for Climate
  Simulation
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation
Kevin Potter
Carianne Martinez
Reina Pradhan
Samantha Brozak
Steven Sleder
Lauren Wheeler
AI4Cl
AI4CE
25
0
0
19 Sep 2024
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
Shivam Barwey
Pinaki Pal
Saumil Patel
Riccardo Balin
Bethany Lusch
V. Vishwanath
R. Maulik
R. Balakrishnan
AI4CE
104
0
0
12 Sep 2024
Using Deep Learning to Design High Aspect Ratio Fusion Devices
Using Deep Learning to Design High Aspect Ratio Fusion Devices
P. Curvo
D. R. Ferreira
R. Jorge
19
1
0
31 Aug 2024
WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling
WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling
Shengpeng Ji
Ziyue Jiang
Xize Cheng
Yifu Chen
Minghui Fang
...
Rongjie Huang
Yidi Jiang
Qian Chen
Zhou Zhao
Zhou Zhao
VLM
57
33
0
29 Aug 2024
Why Rectified Power Unit Networks Fail and How to Improve It: An
  Effective Theory Perspective
Why Rectified Power Unit Networks Fail and How to Improve It: An Effective Theory Perspective
Taeyoung Kim
Myungjoo Kang
30
0
0
04 Aug 2024
Back to the Continuous Attractor
Back to the Continuous Attractor
Ábel Ságodi
Guillermo Martín-Sánchez
Piotr Sokól
Il Memming Park
30
2
0
31 Jul 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations
Yupei Yang
Erdun Gao
Fan Feng
Xinyue Wang
Shikui Tu
Lei Xu
CML
OOD
TTA
38
1
0
30 Jul 2024
SAPG: Split and Aggregate Policy Gradients
SAPG: Split and Aggregate Policy Gradients
Jayesh Singla
Ananye Agarwal
Deepak Pathak
OffRL
OnRL
34
3
0
29 Jul 2024
DC is all you need: describing ReLU from a signal processing standpoint
DC is all you need: describing ReLU from a signal processing standpoint
Christodoulos Kechris
Jonathan Dan
Jose Miranda
David Atienza
36
1
0
23 Jul 2024
Don't Fear Peculiar Activation Functions: EUAF and Beyond
Don't Fear Peculiar Activation Functions: EUAF and Beyond
Qianchao Wang
Shijun Zhang
Dong Zeng
Zhaoheng Xie
Hengtao Guo
Feng-Lei Fan
Tieyong Zeng
42
3
0
12 Jul 2024
Linear Attention Based Deep Nonlocal Means Filtering for Multiplicative
  Noise Removal
Linear Attention Based Deep Nonlocal Means Filtering for Multiplicative Noise Removal
Xiao Siyao
Huang Libing
Zhang Shunsheng
41
0
0
06 Jul 2024
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
Shouchang Guo
Sonam Damani
Keng-hao Chang
VLM
36
1
0
27 Jun 2024
rKAN: Rational Kolmogorov-Arnold Networks
rKAN: Rational Kolmogorov-Arnold Networks
Alireza Afzal Aghaei
44
18
0
20 Jun 2024
Enhancing Monotonic Modeling with Spatio-Temporal Adaptive Awareness in Diverse Marketing
Enhancing Monotonic Modeling with Spatio-Temporal Adaptive Awareness in Diverse Marketing
Bin Li
Jiayan Pei
Feiyang Xiao
Yifan Zhao
Zhixing Zhang
Diwei Liu
Hengxu He
Jia Jia
29
0
0
20 Jun 2024
Multiplane Prior Guided Few-Shot Aerial Scene Rendering
Multiplane Prior Guided Few-Shot Aerial Scene Rendering
Zihan Gao
Licheng Jiao
Lingling Li
Xu Liu
F. Liu
Puhua Chen
Yuwei Guo
29
3
0
07 Jun 2024
Language Guided Skill Discovery
Language Guided Skill Discovery
Seungeun Rho
Laura Smith
Tianyu Li
Sergey Levine
Xue Bin Peng
Sehoon Ha
LM&Ro
42
4
0
07 Jun 2024
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction
Sunwoong Yang
Ricardo Vinuesa
Namwoo Kang
AI4CE
49
4
0
06 Jun 2024
Automatic Dance Video Segmentation for Understanding Choreography
Automatic Dance Video Segmentation for Understanding Choreography
Koki Endo
Shuhei Tsuchida
Tsukasa Fukusato
Takeo Igarashi
VOS
23
0
0
30 May 2024
Accelerating Transformers with Spectrum-Preserving Token Merging
Accelerating Transformers with Spectrum-Preserving Token Merging
Hoai-Chau Tran
D. M. Nguyen
Duy M. Nguyen
Trung Thanh Nguyen
Ngan Le
Pengtao Xie
Daniel Sonntag
James Y. Zou
Binh T. Nguyen
Mathias Niepert
39
8
0
25 May 2024
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific
  Learning Rate
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate
Fan Luo
Zuolin Tu
Zefang Huang
Yang Yu
OffRL
36
0
0
24 May 2024
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
Yuang Zhao
Zhaocheng Du
Qinglin Jia
Linxuan Zhang
Zhenhua Dong
Ruiming Tang
38
2
0
21 May 2024
I-CTRL: Imitation to Control Humanoid Robots Through Constrained Reinforcement Learning
I-CTRL: Imitation to Control Humanoid Robots Through Constrained Reinforcement Learning
Yashuai Yan
Esteve Valls Mascaro
Tobias Egle
Dongheui Lee
38
4
0
14 May 2024
Deep Learning-Based Residual Useful Lifetime Prediction for Assets with Uncertain Failure Modes
Deep Learning-Based Residual Useful Lifetime Prediction for Assets with Uncertain Failure Modes
Yuqi Su
Xiaolei Fang
26
0
0
09 May 2024
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