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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 / 5,458 papers shown
Title
MicroCrackAttentionNeXt: Advancing Microcrack Detection in Wave Field
  Analysis Using Deep Neural Networks through Feature Visualization
MicroCrackAttentionNeXt: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks through Feature Visualization
Fatahlla Moreh
Yusuf Hasan
Bilal Zahid Hussain
Mohammad Ammar
Sven Tomforde
71
1
0
15 Nov 2024
Hysteresis Activation Function for Efficient Inference
Hysteresis Activation Function for Efficient Inference
Moshe Kimhi
Idan Kashani
A. Mendelson
Chaim Baskin
LLMSV
112
0
0
15 Nov 2024
Graph Neural Networks and Differential Equations: A hybrid approach for
  data assimilation of fluid flows
Graph Neural Networks and Differential Equations: A hybrid approach for data assimilation of fluid flows
M. Quattromini
M. A. Bucci
S. Cherubini
O. Semeraro
AI4CE
47
1
0
14 Nov 2024
GTA-Net: An IoT-Integrated 3D Human Pose Estimation System for Real-Time
  Adolescent Sports Posture Correction
GTA-Net: An IoT-Integrated 3D Human Pose Estimation System for Real-Time Adolescent Sports Posture Correction
Shizhe Yuan
Li Zhou
3DH
78
7
0
11 Nov 2024
Alternative Learning Paradigms for Image Quality Transfer
Alternative Learning Paradigms for Image Quality Transfer
A. Eldaly
Matteo Figini
Daniel C. Alexander
OOD
68
0
0
08 Nov 2024
Untrained Perceptual Loss for image denoising of line-like structures in MR images
Untrained Perceptual Loss for image denoising of line-like structures in MR images
Elisabeth Pfaehler
Daniel Pflugfelder
Hanno Scharr
82
0
0
08 Nov 2024
Finding Strong Lottery Ticket Networks with Genetic Algorithms
Finding Strong Lottery Ticket Networks with Genetic Algorithms
Philipp Altmann
Julian Schonberger
Maximilian Zorn
Thomas Gabor
63
1
0
07 Nov 2024
Classification with Conceptual Safeguards
Classification with Conceptual Safeguards
Hailey Joren
Charles Marx
Berk Ustun
61
2
0
07 Nov 2024
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter
  Reset
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
Alexandre Galashov
Michalis K. Titsias
Andras Gyorgy
Clare Lyle
Razvan Pascanu
Yee Whye Teh
Maneesh Sahani
102
4
0
06 Nov 2024
Self-supervised Representation Learning for Cell Event Recognition
  through Time Arrow Prediction
Self-supervised Representation Learning for Cell Event Recognition through Time Arrow Prediction
Cangxiong Chen
Vinay P. Namboodiri
Julia E. Sero
56
0
0
06 Nov 2024
PropNEAT -- Efficient GPU-Compatible Backpropagation over
  NeuroEvolutionary Augmenting Topology Networks
PropNEAT -- Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology Networks
Michael Merry
Patricia Riddle
Jim Warren
27
0
0
06 Nov 2024
Geometry of naturalistic object representations in recurrent neural
  network models of working memory
Geometry of naturalistic object representations in recurrent neural network models of working memory
Xiaoxuan Lei
Takuya Ito
P. Bashivan
123
1
0
04 Nov 2024
Exploring the Landscape for Generative Sequence Models for Specialized
  Data Synthesis
Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesis
Mohammad Zbeeb
Mohammad Ghorayeb
Mariam Salman
120
0
0
04 Nov 2024
Theoretical characterisation of the Gauss-Newton conditioning in Neural Networks
Theoretical characterisation of the Gauss-Newton conditioning in Neural Networks
Jim Zhao
Sidak Pal Singh
Aurelien Lucchi
AI4CE
146
0
0
04 Nov 2024
Breaking the Reclustering Barrier in Centroid-based Deep Clustering
Breaking the Reclustering Barrier in Centroid-based Deep Clustering
Lukas Miklautz
Timo Klein
Kevin Sidak
Collin Leiber
Thomas Lang
Andrii Shkabrii
Sebastian Tschiatschek
Claudia Plant
142
1
0
04 Nov 2024
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving
  Federated Learning in Wireless Healthcare Networks
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks
Sushilkumar Yadav
Irem Bor-Yaliniz
55
0
0
01 Nov 2024
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample
  Perspective
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
Yeonsung Jung
Jaeyun Song
J. Yang
Jin-Hwa Kim
Sung-Yub Kim
Eunho Yang
156
2
0
01 Nov 2024
Personalized Federated Learning via Feature Distribution Adaptation
Personalized Federated Learning via Feature Distribution Adaptation
Connor Mclaughlin
Lili Su
FedMLOOD
98
4
0
01 Nov 2024
Reducing Oversmoothing through Informed Weight Initialization in Graph
  Neural Networks
Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks
Dimitrios Kelesis
Dimitris Fotakis
George Giannakopoulos
168
0
0
31 Oct 2024
LSEAttention is All You Need for Time Series Forecasting
LSEAttention is All You Need for Time Series Forecasting
Dizhen Liang
AI4TS
70
0
0
31 Oct 2024
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced
  Multi-Task Learning
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning
Xujia Wang
Haiyan Zhao
Shuo Wang
Hanqing Wang
Zhiyuan Liu
MoMeMoE
58
1
0
30 Oct 2024
Effective Guidance for Model Attention with Simple Yes-no Annotations
Effective Guidance for Model Attention with Simple Yes-no Annotations
Seongmin Lee
Ali Payani
Duen Horng Chau
FAtt
77
0
0
29 Oct 2024
Where Do Large Learning Rates Lead Us?
Where Do Large Learning Rates Lead Us?
Ildus Sadrtdinov
M. Kodryan
Eduard Pokonechny
E. Lobacheva
Dmitry Vetrov
AI4CE
93
1
0
29 Oct 2024
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
Nate Gillman
Daksh Aggarwal
Michael Freeman
Saurabh Singh
Chen Sun
AI4TS
99
4
0
29 Oct 2024
SepMamba: State-space models for speaker separation using Mamba
SepMamba: State-space models for speaker separation using Mamba
Thor Højhus Avenstrup
Boldizsár Elek
István László Mádi
András Bence Schin
Morten Mørup
Bjørn Sand Jensen
Kenny Falkær Olsen
Mamba
55
0
0
28 Oct 2024
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression
  of Neural Networks
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
Yongchang Hao
Yanshuai Cao
Lili Mou
MQ
76
4
0
28 Oct 2024
EoRA: Fine-tuning-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation
EoRA: Fine-tuning-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation
Shih-yang Liu
Huck Yang
Nai Chit Fung
Charbel Sakr
Hongxu Yin
...
Jan Kautz
Yu-Chun Wang
Pavlo Molchanov
Min-Hung Chen
Min-Hung Chen
MQ
118
0
0
28 Oct 2024
Plastic Learning with Deep Fourier Features
Plastic Learning with Deep Fourier Features
Alex Lewandowski
Dale Schuurmans
Marlos C. Machado
CLL
94
3
0
27 Oct 2024
Interpreting Neural Networks through Mahalanobis Distance
Interpreting Neural Networks through Mahalanobis Distance
Alan Oursland
FAttMILM
23
1
0
25 Oct 2024
Unsupervised semantic segmentation of urban high-density multispectral
  point clouds
Unsupervised semantic segmentation of urban high-density multispectral point clouds
Oona Oinonen
Lassi Ruoppa
Josef Taher
Matti Lehtomäki
Leena Matikainen
Kirsi Karila
Teemu Hakala
A. Kukko
Harri Kaartinen
Juha Hyyppa
54
2
0
24 Oct 2024
Uncertainty-Error correlations in Evidential Deep Learning models for
  biomedical segmentation
Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation
Hai Siong Tan
Kuancheng Wang
R. Mcbeth
UQCV
67
0
0
24 Oct 2024
Scale Propagation Network for Generalizable Depth Completion
Scale Propagation Network for Generalizable Depth Completion
Haotian Wang
Meng Yang
Xinhu Zheng
Gang Hua
97
2
0
24 Oct 2024
packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying
  Feature Space
packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space
Rohit Agarwal
Karaka Prasanth Naidu
Alexander Horsch
Krishna Agarwal
D. Prasad
44
1
0
22 Oct 2024
Leaky ReLUs That Differ in Forward and Backward Pass Facilitate
  Activation Maximization in Deep Neural Networks
Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks
C. Linse
Erhardt Barth
Thomas Martinetz
63
1
0
22 Oct 2024
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
Chuntao Ding
Xu Cao
Jianhang Xie
Linlin Fan
Shangguang Wang
Zhichao Lu
87
1
0
22 Oct 2024
Enhancing Generalization in Convolutional Neural Networks through
  Regularization with Edge and Line Features
Enhancing Generalization in Convolutional Neural Networks through Regularization with Edge and Line Features
C. Linse
Beatrice Brückner
Thomas Martinetz
51
0
0
22 Oct 2024
Rethinking generalization of classifiers in separable classes scenarios
  and over-parameterized regimes
Rethinking generalization of classifiers in separable classes scenarios and over-parameterized regimes
Julius Martinetz
C. Linse
Thomas Martinetz
82
0
0
22 Oct 2024
NeuralMAG: Fast and Generalizable Micromagnetic Simulation with Deep
  Neural Nets
NeuralMAG: Fast and Generalizable Micromagnetic Simulation with Deep Neural Nets
Yunqi Cai
Jiangnan Li
Dong Wang
OODAI4CE
56
0
0
19 Oct 2024
Streaming Deep Reinforcement Learning Finally Works
Streaming Deep Reinforcement Learning Finally Works
Mohamed Elsayed
Gautham Vasan
A. R. Mahmood
OffRL
110
6
0
18 Oct 2024
Reimagining partial thickness keratoplasty: An eye mountable robot for
  autonomous big bubble needle insertion
Reimagining partial thickness keratoplasty: An eye mountable robot for autonomous big bubble needle insertion
Y. Wang
J. Opfermann
J. Yu
H. Yi
J. Kaluna
R. Biswas
R. Zuo
W. Gensheimer
A. Krieger
J. U. Kang
21
3
0
18 Oct 2024
The Propensity for Density in Feed-forward Models
The Propensity for Density in Feed-forward Models
Nandi Schoots
Alex Jackson
Ali Kholmovaia
Peter McBurney
Murray Shanahan
CVBM
51
0
0
18 Oct 2024
Investigating the Capabilities of Deep Learning for Processing and
  Interpreting One-Shot Multi-offset GPR Data: A Numerical Case Study for Lunar
  and Martian Environments
Investigating the Capabilities of Deep Learning for Processing and Interpreting One-Shot Multi-offset GPR Data: A Numerical Case Study for Lunar and Martian Environments
I. Giannakis
Craig Warren
A. Giannopoulos
Georgios Leontidis
Yan Su
Feng Zhou
Javier Martin-Torres
Nectaria Diamanti
18
0
0
18 Oct 2024
A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers
A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers
Juyan Zhang
Dana Kulic
Michael Burke
81
0
0
18 Oct 2024
Unsupervised Skull Segmentation via Contrastive MR-to-CT Modality
  Translation
Unsupervised Skull Segmentation via Contrastive MR-to-CT Modality Translation
K. Kwarciak
Mateusz Daniol
D. Hemmerling
Marek Wodzinski
54
0
0
17 Oct 2024
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving
  Federated Low-rank Adaptation
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation
Meilu Zhu
Axiu Mao
Jun Liu
Yixuan Yuan
99
3
0
16 Oct 2024
On the Role of Activation Functions in EEG-To-Text Decoder
On the Role of Activation Functions in EEG-To-Text Decoder
Zenon Lamprou
Iakovos Tenedios
Yashar Moshfeghi
47
1
0
16 Oct 2024
MAX: Masked Autoencoder for X-ray Fluorescence in Geological
  Investigation
MAX: Masked Autoencoder for X-ray Fluorescence in Geological Investigation
An-Sheng Lee
Yu-Wen Pao
Hsuan-Tien Lin
Sofia Ya Hsuan Liou
55
1
0
16 Oct 2024
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models
Hossein Abdi
Mingfei Sun
Andi Zhang
Samuel Kaski
Wei Pan
68
0
0
15 Oct 2024
HSR-Enhanced Sparse Attention Acceleration
HSR-Enhanced Sparse Attention Acceleration
Bo Chen
Yingyu Liang
Zhizhou Sha
Zhenmei Shi
Zhao Song
259
22
0
14 Oct 2024
Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records
Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records
Shuai Jiang
Christina Robinson
Joseph Anderson
William Hisey
Lynn Butterly
A. Suriawinata
Saeed Hassanpour
90
0
0
13 Oct 2024
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