ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1502.01852
  4. Cited By
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

6 February 2015
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
    VLM
ArXiv (abs)PDFHTML

Papers citing "Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification"

50 / 5,468 papers shown
Title
Dataset Distillation: A Comprehensive Review
Dataset Distillation: A Comprehensive Review
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
163
132
0
17 Jan 2023
Expected Gradients of Maxout Networks and Consequences to Parameter
  Initialization
Expected Gradients of Maxout Networks and Consequences to Parameter Initialization
Hanna Tseran
Guido Montúfar
ODL
63
0
0
17 Jan 2023
Multi-fidelity surrogate modeling for temperature field prediction using
  deep convolution neural network
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network
Yunyang Zhang
Zhiqiang Gong
Weien Zhou
Xiaoyu Zhao
Xiaohu Zheng
Wen Yao
AI4CE
56
25
0
17 Jan 2023
Fully Elman Neural Network: A Novel Deep Recurrent Neural Network
  Optimized by an Improved Harris Hawks Algorithm for Classification of
  Pulmonary Arterial Wedge Pressure
Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure
M. Fetanat
Michael C. Stevens
P. Jain
C. Hayward
Erik H. W. Meijering
N. Lovell
61
24
0
16 Jan 2023
Computability of Optimizers
Computability of Optimizers
Yunseok Lee
Holger Boche
Gitta Kutyniok
51
17
0
15 Jan 2023
Maximally Compact and Separated Features with Regular Polytope Networks
Maximally Compact and Separated Features with Regular Polytope Networks
F. Pernici
Matteo Bruni
C. Baecchi
A. Bimbo
95
19
0
15 Jan 2023
Short-length SSVEP data extension by a novel generative adversarial
  networks based framework
Short-length SSVEP data extension by a novel generative adversarial networks based framework
Yudong Pan
Ning Li
Yangsong Zhang
Peng Xu
Dezhong Yao
84
7
0
13 Jan 2023
Anti-aliasing Predictive Coding Network for Future Video Frame
  Prediction
Anti-aliasing Predictive Coding Network for Future Video Frame Prediction
Chaofan Ling
Wei-Hong Li
Junpei Zhong
63
0
0
13 Jan 2023
Why is the State of Neural Network Pruning so Confusing? On the
  Fairness, Comparison Setup, and Trainability in Network Pruning
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
Huan Wang
Can Qin
Yue Bai
Yun Fu
103
21
0
12 Jan 2023
Deep Residual Axial Networks
Deep Residual Axial Networks
Nazmul Shahadat
Anthony Maida
3DPC
116
6
0
11 Jan 2023
Padding Module: Learning the Padding in Deep Neural Networks
Padding Module: Learning the Padding in Deep Neural Networks
Fahad Alrasheedi
Agnibh Dasgupta
Pei-Chi Huang
KELMVLM
35
17
0
11 Jan 2023
SiFall: Practical Online Fall Detection with RF Sensing
SiFall: Practical Online Fall Detection with RF Sensing
Sijie Ji
Yaxiong Xie
Mo Li
95
42
0
10 Jan 2023
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient
  Correction
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Shuren He
Bani Mallick
117
6
0
09 Jan 2023
Reconstructing Individual Data Points in Federated Learning Hardened
  with Differential Privacy and Secure Aggregation
Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation
Franziska Boenisch
Adam Dziedzic
R. Schuster
Ali Shahin Shamsabadi
Ilia Shumailov
Nicolas Papernot
FedML
81
21
0
09 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications
FedDebug: Systematic Debugging for Federated Learning Applications
Waris Gill
A. Anwar
Muhammad Ali Gulzar
FedML
98
11
0
09 Jan 2023
Learning the Relation between Similarity Loss and Clustering Loss in
  Self-Supervised Learning
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning
Jidong Ge
YuXiang Liu
Jie Gui
Lanting Fang
Ming Lin
James T. Kwok
LiGuo Huang
B. Luo
SSL
86
5
0
08 Jan 2023
ExcelFormer: A neural network surpassing GBDTs on tabular data
ExcelFormer: A neural network surpassing GBDTs on tabular data
Jintai Chen
Jiahuan Yan
Qiyuan Chen
Benlin Liu
Jian Wu
Jimeng Sun
LMTD
165
27
0
07 Jan 2023
Skip-Attention: Improving Vision Transformers by Paying Less Attention
Skip-Attention: Improving Vision Transformers by Paying Less Attention
Shashanka Venkataramanan
Amir Ghodrati
Yuki M. Asano
Fatih Porikli
A. Habibian
ViT
107
30
0
05 Jan 2023
Domain Generalization via Ensemble Stacking for Face Presentation Attack
  Detection
Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection
Usman Muhammad
Jorma T. Laaksonen
D. Beddiar
Mourad Oussalah
AAMLCVBM
72
9
0
05 Jan 2023
Deep Learning for Breast MRI Style Transfer with Limited Training Data
Deep Learning for Breast MRI Style Transfer with Limited Training Data
Shixing Cao
Nicholas Konz
James Duncan
Maciej A. Mazurowski
MedIm
122
14
0
05 Jan 2023
A Distance-Geometric Method for Recovering Robot Joint Angles From an
  RGB Image
A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image
Ivan Bilić
Filip Marić
Ivan Marković
Ivan Petrović
51
1
0
05 Jan 2023
MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain
  Adaptation for Breast MRI Segmentation in Small Datasets
MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets
Sheng Kuang
Henry C. Woodruff
R. Granzier
T. Nijnatten
M. Lobbes
M. Smidt
Philippe Lambin
S. Mehrkanoon
92
16
0
04 Jan 2023
Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations
Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations
Sagnik Majumder
Hao Jiang
Pierre Moulon
E. Henderson
P. Calamia
Kristen Grauman
V. Ithapu
EgoV
91
7
0
04 Jan 2023
Explicit Abnormality Extraction for Unsupervised Motion Artifact
  Reduction in Magnetic Resonance Imaging
Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging
Yusheng Zhou
Hao Li
Tao Huang
Zhengmin Kong
Tao Huang
Euijoon Ah
Zhihan Lv
Jinman Kim
David Dagan Feng
MedIm
87
1
0
04 Jan 2023
Lessons Learned Applying Deep Learning Approaches to Forecasting Complex
  Seasonal Behavior
Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior
Andrew T. Karl
J. Wisnowski
L. Petropoulos
AI4TS
44
0
0
04 Jan 2023
Policy Pre-training for Autonomous Driving via Self-supervised Geometric
  Modeling
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling
Peng Wu
Li Chen
Hongyang Li
Xiaosong Jia
Junchi Yan
Yu Qiao
160
29
0
03 Jan 2023
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
Sanghyun Woo
Shoubhik Debnath
Ronghang Hu
Xinlei Chen
Zhuang Liu
In So Kweon
Saining Xie
SyDa
163
822
0
02 Jan 2023
Model-Driven Deep Learning for Non-Coherent Massive Machine-Type
  Communications
Model-Driven Deep Learning for Non-Coherent Massive Machine-Type Communications
Zhe Ma
W. Wu
Fei Gao
Xuemin
X. Shen
51
12
0
02 Jan 2023
Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural
  Network Approach
Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach
Daniel Abode
Ramoni O. Adeogun
Gilberto Berardinelli
26
14
0
30 Dec 2022
DGFont++: Robust Deformable Generative Networks for Unsupervised Font
  Generation
DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation
Xinyuan Chen
Yangchen Xie
Li Sun
Yue Lu
66
4
0
30 Dec 2022
Breaking the Architecture Barrier: A Method for Efficient Knowledge
  Transfer Across Networks
Breaking the Architecture Barrier: A Method for Efficient Knowledge Transfer Across Networks
Maciej A. Czyzewski
Daniel Nowak
Kamila Piechowiak
66
3
0
28 Dec 2022
Shape-Aware Fine-Grained Classification of Erythroid Cells
Shape-Aware Fine-Grained Classification of Erythroid Cells
Ye Wang
Rui Ma
Xiaoqing Ma
Honghua Cui
Yubin Xiao
Xuan Wu
You Zhou
43
5
0
28 Dec 2022
Parsing Objects at a Finer Granularity: A Survey
Parsing Objects at a Finer Granularity: A Survey
Yifan Zhao
Jia Li
Yonghong Tian
126
2
0
28 Dec 2022
NeRN -- Learning Neural Representations for Neural Networks
NeRN -- Learning Neural Representations for Neural Networks
Maor Ashkenazi
Zohar Rimon
Ron Vainshtein
Shir Levi
Elad Richardson
Pinchas Mintz
Eran Treister
3DH
92
13
0
27 Dec 2022
Neural Shape Compiler: A Unified Framework for Transforming between
  Text, Point Cloud, and Program
Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program
Tiange Luo
Honglak Lee
Justin Johnson
94
5
0
25 Dec 2022
Human Health Indicator Prediction from Gait Video
Human Health Indicator Prediction from Gait Video
Ziqing Li
Xue-Jing Yu
Xiaocong Lian
Yifeng Wang
Xiangyang Ji
CVBM
43
0
0
25 Dec 2022
Eigenvalue initialisation and regularisation for Koopman autoencoders
Eigenvalue initialisation and regularisation for Koopman autoencoders
Jack W. Miller
Charles OÑeill
N. Constantinou
Omri Azencot
64
2
0
23 Dec 2022
Deep set conditioned latent representations for action recognition
Deep set conditioned latent representations for action recognition
Akash Singh
Tom De Schepper
Kevin Mets
P. Hellinckx
José Oramas
Steven Latré
BDL
69
2
0
21 Dec 2022
Hoyer regularizer is all you need for ultra low-latency spiking neural
  networks
Hoyer regularizer is all you need for ultra low-latency spiking neural networks
Gourav Datta
Zeyu Liu
Peter A. Beerel
94
9
0
20 Dec 2022
End to End Generative Meta Curriculum Learning For Medical Data
  Augmentation
End to End Generative Meta Curriculum Learning For Medical Data Augmentation
Meng Li
Brian C. Lovell
MedIm
96
4
0
20 Dec 2022
Atrous Space Bender U-Net (ASBU-Net/LogiNet)
Atrous Space Bender U-Net (ASBU-Net/LogiNet)
Anurag Bansal
O. Ostap
Miguel Maestre Trueba
Kristopher Perry
SSeg
95
1
0
16 Dec 2022
Federated Learning with Flexible Control
Federated Learning with Flexible Control
Shiqiang Wang
Jake B. Perazzone
Mingyue Ji
Kevin S. Chan
FedML
83
18
0
16 Dec 2022
DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech
  Enhancement
DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech Enhancement
Dongheon Lee
Jung-Woo Choi
76
29
0
15 Dec 2022
Harmonic (Quantum) Neural Networks
Harmonic (Quantum) Neural Networks
Atiyo Ghosh
Antonio A. Gentile
M. Dagrada
Chul Lee
S. Kim
Hyukgeun Cha
Yunjun Choi
Brad Kim
J. Kye
V. Elfving
AI4CE
74
1
0
14 Dec 2022
Maximal Initial Learning Rates in Deep ReLU Networks
Maximal Initial Learning Rates in Deep ReLU Networks
Gaurav M. Iyer
Boris Hanin
David Rolnick
81
10
0
14 Dec 2022
Low-Variance Forward Gradients using Direct Feedback Alignment and
  Momentum
Low-Variance Forward Gradients using Direct Feedback Alignment and Momentum
Florian Bacho
Dominique F. Chu
61
8
0
14 Dec 2022
Simulator-Based Self-Supervision for Learned 3D Tomography
  Reconstruction
Simulator-Based Self-Supervision for Learned 3D Tomography Reconstruction
Onni Kosomaa
S. Laine
Tero Karras
M. Aittala
J. Lehtinen
61
2
0
14 Dec 2022
On Mini-Batch Training with Varying Length Time Series
On Mini-Batch Training with Varying Length Time Series
Brian Kenji Iwana
AI4TS
48
3
0
13 Dec 2022
Single Cell Training on Architecture Search for Image Denoising
Single Cell Training on Architecture Search for Image Denoising
Bokyeung Lee
Kyungdeuk Ko
Jonghwan Hong
Hanseok Ko
56
1
0
13 Dec 2022
Minimax Optimal Estimation of Stability Under Distribution Shift
Minimax Optimal Estimation of Stability Under Distribution Shift
Hongseok Namkoong
Yuanzhe Ma
Peter Glynn
199
6
0
13 Dec 2022
Previous
123...272829...108109110
Next