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Empirical Evaluation of Rectified Activations in Convolutional Network

Empirical Evaluation of Rectified Activations in Convolutional Network

5 May 2015
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
ArXivPDFHTML

Papers citing "Empirical Evaluation of Rectified Activations in Convolutional Network"

50 / 869 papers shown
Title
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
Joonho Jang
Byeonghu Na
DongHyeok Shin
Mingi Ji
Kyungwoo Song
Il-Chul Moon
24
34
0
15 Jun 2022
Scaling ResNets in the Large-depth Regime
Scaling ResNets in the Large-depth Regime
P. Marion
Adeline Fermanian
Gérard Biau
Jean-Philippe Vert
26
16
0
14 Jun 2022
DPCN++: Differentiable Phase Correlation Network for Versatile Pose
  Registration
DPCN++: Differentiable Phase Correlation Network for Versatile Pose Registration
Zexi Chen
Yiyi Liao
Haozhe Du
Haodong Zhang
Xuecheng Xu
Haojian Lu
R. Xiong
Yue Wang
25
2
0
12 Jun 2022
Deep Learning-based Finite Element Analysis (FEA) surrogate for sub-sea
  pressure vessel
Deep Learning-based Finite Element Analysis (FEA) surrogate for sub-sea pressure vessel
Harsh Vardhan
J. Sztipanovits
AI4CE
6
0
0
06 Jun 2022
Perceptual Learned Source-Channel Coding for High-Fidelity Image
  Semantic Transmission
Perceptual Learned Source-Channel Coding for High-Fidelity Image Semantic Transmission
Jun Wang
Sixian Wang
Jincheng Dai
Zhongwei Si
Dekun Zhou
K. Niu
14
31
0
26 May 2022
Constrained Monotonic Neural Networks
Constrained Monotonic Neural Networks
D. Runje
Sharath M. Shankaranarayana
28
18
0
24 May 2022
DProQ: A Gated-Graph Transformer for Protein Complex Structure
  Assessment
DProQ: A Gated-Graph Transformer for Protein Complex Structure Assessment
Xiao Chen
Alex Morehead
Jian Liu
Jianlin Cheng
40
7
0
21 May 2022
Making Pretrained Language Models Good Long-tailed Learners
Making Pretrained Language Models Good Long-tailed Learners
Chen Zhang
Lei Ren
Jingang Wang
Wei Yu Wu
Dawei Song
RALM
VLM
20
8
0
11 May 2022
N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and
  Salient Gene Identification
N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and Salient Gene Identification
Abbas-Ali Heydari
Oscar A. Davalos
K. Hoyer
Suzanne S. Sindi
25
2
0
08 May 2022
Learning Disentangled Textual Representations via Statistical Measures
  of Similarity
Learning Disentangled Textual Representations via Statistical Measures of Similarity
Pierre Colombo
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
FaML
DRL
38
22
0
07 May 2022
Attentive activation function for improving end-to-end spoofing
  countermeasure systems
Attentive activation function for improving end-to-end spoofing countermeasure systems
Woohyun Kang
Jahangir Alam
A. Fathan
AAML
14
2
0
03 May 2022
Thermodynamically Consistent Machine-Learned Internal State Variable
  Approach for Data-Driven Modeling of Path-Dependent Materials
Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials
Xiaolong He
Jiun-Shyan Chen
AI4CE
34
48
0
01 May 2022
Cracking White-box DNN Watermarks via Invariant Neuron Transforms
Cracking White-box DNN Watermarks via Invariant Neuron Transforms
Yifan Yan
Xudong Pan
Yining Wang
Mi Zhang
Min Yang
AAML
19
14
0
30 Apr 2022
VSA: Learning Varied-Size Window Attention in Vision Transformers
VSA: Learning Varied-Size Window Attention in Vision Transformers
Qiming Zhang
Yufei Xu
Jing Zhang
Dacheng Tao
22
53
0
18 Apr 2022
A deep learning framework for the detection and quantification of drusen
  and reticular pseudodrusen on optical coherence tomography
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography
R. Schwartz
Hagar Khalid
S. Liakopoulos
Y. Ouyang
Coen de Vente
...
Zhichao Wu
Himeesh Kumar
Joseph Farrington
C. Sánchez
A. Tufail
25
26
0
05 Apr 2022
Quantized GAN for Complex Music Generation from Dance Videos
Quantized GAN for Complex Music Generation from Dance Videos
Ye Zhu
Kyle Olszewski
Yuehua Wu
Panos Achlioptas
Menglei Chai
Yan Yan
Sergey Tulyakov
MGen
25
44
0
01 Apr 2022
Convergence of gradient descent for deep neural networks
Convergence of gradient descent for deep neural networks
S. Chatterjee
ODL
21
20
0
30 Mar 2022
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain
  Feature Maps Consistency
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency
Stanislav Shimovolos
Andrey Shushko
Mikhail Belyaev
B. Shirokikh
OOD
11
1
0
28 Mar 2022
Interpreting Class Conditional GANs with Channel Awareness
Interpreting Class Conditional GANs with Channel Awareness
Yin-Yin He
Zhiyi Zhang
Jiapeng Zhu
Yujun Shen
Qifeng Chen
GAN
16
1
0
21 Mar 2022
Adaptive and Cascaded Compressive Sensing
Adaptive and Cascaded Compressive Sensing
Chenxi Qiu
Tao Yue
Xue-mei Hu
25
2
0
21 Mar 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A
  Survey
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey
Yuecai Zhu
Fuyuan Lyu
Chengming Hu
X. Chen
Xue Liu
AI4TS
AI4CE
21
20
0
20 Mar 2022
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human
  Activity Recognition
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition
Yan Yan
T. Liao
Jinjin Zhao
Jiahong Wang
Liang Ma
Wei Lv
Jing Xiong
Lei Wang
18
20
0
14 Mar 2022
Wasserstein Adversarial Transformer for Cloud Workload Prediction
Wasserstein Adversarial Transformer for Cloud Workload Prediction
Shivani Arbat
V. Jayakumar
Jaewoo Lee
Wei Wang
I. Kim
AI4TS
11
22
0
12 Mar 2022
On the Construction of Distribution-Free Prediction Intervals for an
  Image Regression Problem in Semiconductor Manufacturing
On the Construction of Distribution-Free Prediction Intervals for an Image Regression Problem in Semiconductor Manufacturing
Inimfon I. Akpabio
S. Savari
UQCV
11
0
0
07 Mar 2022
Singular Value Perturbation and Deep Network Optimization
Singular Value Perturbation and Deep Network Optimization
R. Riedi
Randall Balestriero
Richard G. Baraniuk
AAML
14
8
0
07 Mar 2022
MRI-GAN: A Generalized Approach to Detect DeepFakes using Perceptual
  Image Assessment
MRI-GAN: A Generalized Approach to Detect DeepFakes using Perceptual Image Assessment
Pratikkumar Prajapati
C. Pollett
CVBM
35
7
0
28 Feb 2022
Incorporating Constituent Syntax for Coreference Resolution
Incorporating Constituent Syntax for Coreference Resolution
Fan Jiang
Trevor Cohn
11
4
0
22 Feb 2022
A Data Augmentation Method for Fully Automatic Brain Tumor Segmentation
A Data Augmentation Method for Fully Automatic Brain Tumor Segmentation
Yu Wang
Ya-Liang Ji
Hongbing Xiao
12
27
0
13 Feb 2022
Graph-adaptive Rectified Linear Unit for Graph Neural Networks
Graph-adaptive Rectified Linear Unit for Graph Neural Networks
Yifei Zhang
Hao Zhu
Ziqiao Meng
Piotr Koniusz
Irwin King
29
32
0
13 Feb 2022
Bench-Marking And Improving Arabic Automatic Image Captioning Through
  The Use Of Multi-Task Learning Paradigm
Bench-Marking And Improving Arabic Automatic Image Captioning Through The Use Of Multi-Task Learning Paradigm
Muhy Eddin Za'ter
Bashar Talafha
VLM
25
2
0
11 Feb 2022
pNLP-Mixer: an Efficient all-MLP Architecture for Language
pNLP-Mixer: an Efficient all-MLP Architecture for Language
Francesco Fusco
Damian Pascual
Peter W. J. Staar
Diego Antognini
37
29
0
09 Feb 2022
Covariate-informed Representation Learning to Prevent Posterior Collapse
  of iVAE
Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE
Young-geun Kim
Yong-Jin Liu
Xue Wei
OOD
CML
33
1
0
09 Feb 2022
Predicting and Visualizing Daily Mood of People Using Tracking Data of
  Consumer Devices and Services
Predicting and Visualizing Daily Mood of People Using Tracking Data of Consumer Devices and Services
Christian Reiser
6
2
0
08 Feb 2022
Boosting Graph Neural Networks by Injecting Pooling in Message Passing
Boosting Graph Neural Networks by Injecting Pooling in Message Passing
Hyeokjin Kwon
Jong-Min Lee
28
0
0
08 Feb 2022
A Coding Framework and Benchmark towards Compressed Video Understanding
A Coding Framework and Benchmark towards Compressed Video Understanding
Yuan Tian
Guo Lu
Yichao Yan
Guangtao Zhai
L. Chen
Zhiyong Gao
33
21
0
06 Feb 2022
Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting
Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting
Guofeng Mei
Litao Yu
Qiang Wu
Jian Zhang
Mohammed Bennamoun
SSL
3DPC
16
8
0
05 Feb 2022
Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of
  Training Data Diversity on Stability and Robustness
Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness
Farnaz Khun Jush
M. Biele
P. Dueppenbecker
Andreas Maier
OOD
22
14
0
01 Feb 2022
Deep Confidence Guided Distance for 3D Partial Shape Registration
Deep Confidence Guided Distance for 3D Partial Shape Registration
Dvir Ginzburg
D. Raviv
3DV
3DPC
19
3
0
27 Jan 2022
A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar
  Systems
A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems
JaKeoung Koo
Abderrahim Halimi
S. Mclaughlin
BDL
3DV
19
16
0
26 Jan 2022
GASCN: Graph Attention Shape Completion Network
GASCN: Graph Attention Shape Completion Network
Haojie Huang
Ziyi Yang
Robert W. Platt
GNN
3DPC
19
6
0
20 Jan 2022
Learning to Rank For Push Notifications Using Pairwise Expected Regret
Learning to Rank For Push Notifications Using Pairwise Expected Regret
Yuguang Yue
Yuanpu Xie
Huasen Wu
Haofeng Jia
Shaodan Zhai
Wenzhe Shi
Jonathan J. Hunt
20
5
0
19 Jan 2022
Variable Augmented Network for Invertible MR Coil Compression
Variable Augmented Network for Invertible MR Coil Compression
Xianghao Liao
Shanshan Wang
Lan Tu
Yuhao Wang
Dong Liang
Qiegen Liu
14
0
0
19 Jan 2022
Spectral Compressive Imaging Reconstruction Using Convolution and
  Contextual Transformer
Spectral Compressive Imaging Reconstruction Using Convolution and Contextual Transformer
Lishun Wang
Zong-Jhe Wu
Yong Zhong
Xin Yuan
17
18
0
15 Jan 2022
Fighting Money Laundering with Statistics and Machine Learning
Fighting Money Laundering with Statistics and Machine Learning
R. Jensen
Alexandros Iosifidis
33
13
0
11 Jan 2022
Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs
Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs
Raj K. Shrestha
Daniel Romero
S. Chepuri
17
37
0
11 Jan 2022
Multiresolution Fully Convolutional Networks to detect Clouds and Snow
  through Optical Satellite Images
Multiresolution Fully Convolutional Networks to detect Clouds and Snow through Optical Satellite Images
D. Varshney
Claudio Persello
P. K. Gupta
B. Nikam
12
1
0
07 Jan 2022
The GatedTabTransformer. An enhanced deep learning architecture for
  tabular modeling
The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling
Radostin Cholakov
T. Kolev
LMTD
27
12
0
01 Jan 2022
Bird Species Classification And Acoustic Features Selection Based on
  Distributed Neural Network with Two Stage Windowing of Short-Term Features
Bird Species Classification And Acoustic Features Selection Based on Distributed Neural Network with Two Stage Windowing of Short-Term Features
N. Hasan
25
2
0
01 Jan 2022
Continual Learning for Unsupervised Anomaly Detection in Continuous
  Auditing of Financial Accounting Data
Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data
Hamed Hemati
Marco Schreyer
Damian Borth
26
9
0
25 Dec 2021
A Multi-View Framework for BGP Anomaly Detection via Graph Attention
  Network
A Multi-View Framework for BGP Anomaly Detection via Graph Attention Network
Songtao Peng
Jiaqi Nie
Xincheng Shu
Zhongyuan Ruan
Lei Wang
Yunxuan Sheng
Qi Xuan
AI4TS
17
20
0
23 Dec 2021
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