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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
Graph Neural Networks for Pressure Estimation in Water Distribution
  Systems
Graph Neural Networks for Pressure Estimation in Water Distribution Systems
Huy Truong
Andres Tello
Alexander Lazovik
Victoria Degeler
34
8
0
17 Nov 2023
Progression and Challenges of IoT in Healthcare: A Short Review
Progression and Challenges of IoT in Healthcare: A Short Review
S. M. A. Rahman
Sifat Ibtisum
Priya Podder
S. M. S. Hossain
23
17
0
11 Nov 2023
Multi-View Causal Representation Learning with Partial Observability
Multi-View Causal Representation Learning with Partial Observability
Dingling Yao
Danru Xu
Sébastien Lachapelle
Sara Magliacane
Perouz Taslakian
Georg Martius
Julius von Kügelgen
Francesco Locatello
CML
42
30
0
07 Nov 2023
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial
  Network for an end-to-end image translation
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation
Iman Abbasnejad
Fabio Zambetta
Flora D. Salim
Timothy Wiley
Jeffrey Chan
Russell Gallagher
Ehsan Abbasnejad
GAN
16
0
0
07 Nov 2023
Re-Temp: Relation-Aware Temporal Representation Learning for Temporal
  Knowledge Graph Completion
Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion
Kunze Wang
S. Han
Josiah Poon
18
3
0
24 Oct 2023
A Novel Information-Theoretic Objective to Disentangle Representations
  for Fair Classification
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification
Pierre Colombo
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
FaML
DRL
35
1
0
21 Oct 2023
Contributing Components of Metabolic Energy Models to Metabolic Cost
  Estimations in Gait
Contributing Components of Metabolic Energy Models to Metabolic Cost Estimations in Gait
Markus Gambietz
Marlies Nitschke
J. Miehling
A. Koelewijn
16
2
0
18 Oct 2023
Feature Pyramid biLSTM: Using Smartphone Sensors for Transportation Mode
  Detection
Feature Pyramid biLSTM: Using Smartphone Sensors for Transportation Mode Detection
Qinrui Tang
Hao Cheng
18
3
0
17 Oct 2023
A Non-monotonic Smooth Activation Function
A Non-monotonic Smooth Activation Function
Koushik Biswas
Meghana Karri
Ulacs Baugci
16
1
0
16 Oct 2023
DANet: Enhancing Small Object Detection through an Efficient Deformable
  Attention Network
DANet: Enhancing Small Object Detection through an Efficient Deformable Attention Network
Md Sohag Mia
Abdullah Al Bary Voban
Abu Bakor Hayat Arnob
Abdu Naim
Md Kawsar Ahmed
Md Shariful Islam
ObjD
21
1
0
09 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection
Understanding the Feature Norm for Out-of-Distribution Detection
Jaewoo Park
Jacky Chen Long Chai
Jaeho Yoon
Andrew Beng Jin Teoh
OODD
24
12
0
09 Oct 2023
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across
  Language Models
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
Zijun Wu
Yongkang Wu
Lili Mou
VLM
27
2
0
02 Oct 2023
Reinforcement Learning for Node Selection in Branch-and-Bound
Reinforcement Learning for Node Selection in Branch-and-Bound
Alexander Mattick
Christopher Mutschler
16
2
0
29 Sep 2023
Learning to Terminate in Object Navigation
Learning to Terminate in Object Navigation
Yuhang Song
Anh Nguyen
Chun-Yi Lee
30
3
0
28 Sep 2023
Video-adverb retrieval with compositional adverb-action embeddings
Video-adverb retrieval with compositional adverb-action embeddings
Thomas Hummel
Otniel-Bogdan Mercea
A. Sophia Koepke
Zeynep Akata
22
1
0
26 Sep 2023
A novel approach for holographic 3D content generation without depth map
A novel approach for holographic 3D content generation without depth map
Hakdong Kim
Minkyu Jee
Yurim Lee
Kyudam Choi
MinSung Yoon
Cheongwon Kim
23
0
0
26 Sep 2023
Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under
  High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle
  Method
Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method
Jonghyuk Baek
Yanran Wang
Xiaolong He
Yu Lu
J. McCartney
J. S. Chen
24
0
0
24 Sep 2023
Conditioning Latent-Space Clusters for Real-World Anomaly Classification
Conditioning Latent-Space Clusters for Real-World Anomaly Classification
Daniel Bogdoll
Svetlana Pavlitska
Simon Klaus
J. Marius Zöllner
DRL
32
1
0
18 Sep 2023
Adaptive Reorganization of Neural Pathways for Continual Learning with
  Spiking Neural Networks
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks
Bing Han
Feifei Zhao
Wenxuan Pan
Zhaoya Zhao
Xianqi Li
Qingqun Kong
Yi Zeng
CLL
26
3
0
18 Sep 2023
Viewpoint Textual Inversion: Unleashing Novel View Synthesis with
  Pretrained 2D Diffusion Models
Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models
James Burgess
Kuan-Chieh Wang
Serena Yeung-Levy
DiffM
35
6
0
14 Sep 2023
Brain-inspired Evolutionary Architectures for Spiking Neural Networks
Brain-inspired Evolutionary Architectures for Spiking Neural Networks
Wenxuan Pan
Feifei Zhao
Zhuoya Zhao
Yi Zeng
44
3
0
11 Sep 2023
Utilizing Generative Adversarial Networks for Stable Structure
  Generation in Angry Birds
Utilizing Generative Adversarial Networks for Stable Structure Generation in Angry Birds
Frederic Abraham
Matthew Stephenson
GAN
11
2
0
05 Sep 2023
PESTO: Pitch Estimation with Self-supervised Transposition-equivariant
  Objective
PESTO: Pitch Estimation with Self-supervised Transposition-equivariant Objective
Alain Riou
Stefan Lattner
Gaëtan Hadjeres
Geoffroy Peeters
29
13
0
05 Sep 2023
Large Separable Kernel Attention: Rethinking the Large Kernel Attention
  Design in CNN
Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN
Kin Wai Lau
L. Po
Yasar Abbas Ur Rehman
VLM
24
200
0
04 Sep 2023
Multi-scale, Data-driven and Anatomically Constrained Deep Learning
  Image Registration for Adult and Fetal Echocardiography
Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal Echocardiography
M. Hasan
Haobo Zhu
Guang Yang
Choon Hwai Yap
24
1
0
02 Sep 2023
Deep Video Codec Control for Vision Models
Deep Video Codec Control for Vision Models
Christoph Reich
Biplob K. Debnath
Deep Patel
Tim Prangemeier
Daniel Cremers
S. Chakradhar
23
1
0
30 Aug 2023
Improving Face Recognition from Caption Supervision with Multi-Granular
  Contextual Feature Aggregation
Improving Face Recognition from Caption Supervision with Multi-Granular Contextual Feature Aggregation
Md Golam Moula Mehedi Hasan
Nasser M. Nasrabadi
CVBM
16
2
0
13 Aug 2023
FastLLVE: Real-Time Low-Light Video Enhancement with Intensity-Aware
  Lookup Table
FastLLVE: Real-Time Low-Light Video Enhancement with Intensity-Aware Lookup Table
Wenhao Li
Guangyang Wu
Wenyi Wang
Peiran Ren
Xiaohong Liu
17
14
0
13 Aug 2023
MACO: A Modality Adversarial and Contrastive Framework for
  Modality-missing Multi-modal Knowledge Graph Completion
MACO: A Modality Adversarial and Contrastive Framework for Modality-missing Multi-modal Knowledge Graph Completion
Yichi Zhang
Zhuo Chen
Wen Zhang
18
4
0
13 Aug 2023
Enhancing Efficient Continual Learning with Dynamic Structure
  Development of Spiking Neural Networks
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks
Bing Han
Feifei Zhao
Yi Zeng
Wenxuan Pan
Guobin Shen
CLL
37
12
0
09 Aug 2023
Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the
  Noise Model
Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model
Xin Jin
Jianqiang Xiao
Linghao Han
Chunle Guo
Xialei Liu
Chongyi Li
Ruixun Zhang
38
3
0
07 Aug 2023
Prototypes-oriented Transductive Few-shot Learning with Conditional
  Transport
Prototypes-oriented Transductive Few-shot Learning with Conditional Transport
Long Tian
Jing Feng
Wenchao Chen
Xiaoqiang Chai
Liming Wang
Xiyang Liu
Bo Chen
22
14
0
06 Aug 2023
Local-Global Temporal Fusion Network with an Attention Mechanism for
  Multiple and Multiclass Arrhythmia Classification
Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification
Y. Kim
Minji Lee
Kunwook Jo
Hee Seok Song
Seong-Whan Lee
18
0
0
03 Aug 2023
Video Frame Interpolation with Flow Transformer
Video Frame Interpolation with Flow Transformer
Pan Gao
Haoyue Tian
Jie Qin
ViT
19
4
0
30 Jul 2023
Pupil Learning Mechanism
Pupil Learning Mechanism
R. Tsaih
Yu-Hang Chien
S. Chien
13
0
0
30 Jul 2023
Attentive Multimodal Fusion for Optical and Scene Flow
Attentive Multimodal Fusion for Optical and Scene Flow
Youjie Zhou
Guofeng Mei
Yiming Wang
Fabio Poiesi
Yi Wan
3DPC
23
1
0
28 Jul 2023
Deep neural network improves the estimation of polygenic risk scores for
  breast cancer
Deep neural network improves the estimation of polygenic risk scores for breast cancer
Adrien Badré
Li Zhang
W. Muchero
Justin C Reynolds
Chongle Pan
14
47
0
24 Jul 2023
FATRER: Full-Attention Topic Regularizer for Accurate and Robust
  Conversational Emotion Recognition
FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition
Yuzhao Mao
Di Lu
Xiaojie Wang
Yang Zhang
22
1
0
23 Jul 2023
Deep Contract Design via Discontinuous Networks
Deep Contract Design via Discontinuous Networks
Tonghan Wang
Paul Dutting
Dmitry Ivanov
Inbal Talgam-Cohen
David C. Parkes
11
12
0
05 Jul 2023
End-to-End Learnable Multi-Scale Feature Compression for VCM
End-to-End Learnable Multi-Scale Feature Compression for VCM
Yeong-Gwan Kim
Hyewon Jeong
Janghyun Yu
Younhee Kim
Jooyoung Lee
S. Jeong
Hui-Yong Kim
16
13
0
29 Jun 2023
Empirical Loss Landscape Analysis of Neural Network Activation Functions
Empirical Loss Landscape Analysis of Neural Network Activation Functions
Anna Sergeevna Bosman
A. Engelbrecht
Mardé Helbig
10
4
0
28 Jun 2023
Personalized Federated Learning with Feature Alignment and Classifier
  Collaboration
Personalized Federated Learning with Feature Alignment and Classifier Collaboration
Jian Xu
Xin-Yi Tong
Shao-Lun Huang
FedML
26
100
0
20 Jun 2023
Learning Profitable NFT Image Diffusions via Multiple Visual-Policy
  Guided Reinforcement Learning
Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning
Huiguo He
Tianfu Wang
Huan Yang
Jianlong Fu
N. Yuan
Jian Yin
Hongyang Chao
Qi Zhang
EGVM
30
9
0
20 Jun 2023
Learn to Enhance the Negative Information in Convolutional Neural
  Network
Learn to Enhance the Negative Information in Convolutional Neural Network
Zhicheng Cai
Chenglei Peng
Qiu Shen
16
0
0
18 Jun 2023
Unscented Autoencoder
Unscented Autoencoder
Faris Janjos
Lars Rosenbaum
Maxim Dolgov
J. Marius Zöllner
16
2
0
08 Jun 2023
ZIGNeRF: Zero-shot 3D Scene Representation with Invertible Generative
  Neural Radiance Fields
ZIGNeRF: Zero-shot 3D Scene Representation with Invertible Generative Neural Radiance Fields
Kanghyeok Ko
Minhyeok Lee
26
2
0
05 Jun 2023
Two-View Geometry Scoring Without Correspondences
Two-View Geometry Scoring Without Correspondences
Axel Barroso-Laguna
Eric Brachmann
V. Prisacariu
Gabriel J. Brostow
Daniyar Turmukhambetov
30
11
0
02 Jun 2023
Toward Understanding Generative Data Augmentation
Toward Understanding Generative Data Augmentation
Chenyu Zheng
Guoqiang Wu
Chongxuan Li
29
25
0
27 May 2023
Improving Stability and Performance of Spiking Neural Networks through
  Enhancing Temporal Consistency
Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency
Dongcheng Zhao
Guobin Shen
Yiting Dong
Yang Li
Yi Zeng
38
7
0
23 May 2023
A 4D Hybrid Algorithm to Scale Parallel Training to Thousands of GPUs
A 4D Hybrid Algorithm to Scale Parallel Training to Thousands of GPUs
Siddharth Singh
Prajwal Singhania
Aditya K. Ranjan
Zack Sating
A. Bhatele
27
3
0
22 May 2023
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