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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 / 5,463 papers shown
Title
Bridging the gap between image coding for machines and humans
Bridging the gap between image coding for machines and humans
Nam Le
Honglei Zhang
Francesco Cricri
Ramin Ghaznavi-Youvalari
Hamed R. Tavakoli
Emre B. Aksu
M. Hannuksela
Esa Rahtu
70
5
0
19 Jan 2024
A2Q+: Improving Accumulator-Aware Weight Quantization
A2Q+: Improving Accumulator-Aware Weight Quantization
Ian Colbert
Alessandro Pappalardo
Jakoba Petri-Koenig
Yaman Umuroglu
MQ
66
5
0
19 Jan 2024
Neural Echos: Depthwise Convolutional Filters Replicate Biological
  Receptive Fields
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields
Z. Babaiee
Peyman M. Kiasari
Daniela Rus
Radu Grosu
MDE
26
3
0
18 Jan 2024
Mathematical Algorithm Design for Deep Learning under Societal and
  Judicial Constraints: The Algorithmic Transparency Requirement
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement
Holger Boche
Adalbert Fono
Gitta Kutyniok
FaML
103
4
0
18 Jan 2024
Querying Easily Flip-flopped Samples for Deep Active Learning
Querying Easily Flip-flopped Samples for Deep Active Learning
S. Cho
G. Kim
Junghyun Lee
Jinwoo Shin
Chang D. Yoo
96
6
0
18 Jan 2024
Land Cover Image Classification
Land Cover Image Classification
Antonio Rangel
Juan R. Terven
Diana-Margarita Córdova-Esparza
E. A. Chavez-Urbiola
34
4
0
17 Jan 2024
Bag of Tricks to Boost Adversarial Transferability
Bag of Tricks to Boost Adversarial Transferability
Zeliang Zhang
Rongyi Zhu
Wei Yao
Xiaosen Wang
Chenliang Xu
AAML
86
11
0
16 Jan 2024
Transferring Core Knowledge via Learngenes
Transferring Core Knowledge via Learngenes
Fu Feng
Jing Wang
Xin Geng
103
7
0
16 Jan 2024
On the Importance of Neural Wiener Filter for Resource Efficient
  Multichannel Speech Enhancement
On the Importance of Neural Wiener Filter for Resource Efficient Multichannel Speech Enhancement
Tsun-An Hsieh
Jacob Donley
Daniel D. E. Wong
Buye Xu
Ashutosh Pandey
58
3
0
15 Jan 2024
Decoupled Spatial and Temporal Processing for Resource Efficient
  Multichannel Speech Enhancement
Decoupled Spatial and Temporal Processing for Resource Efficient Multichannel Speech Enhancement
Ashutosh Pandey
Buye Xu
90
3
0
15 Jan 2024
Sparsity-based background removal for STORM super-resolution images
Sparsity-based background removal for STORM super-resolution images
Patris Valera
Josué Page Vizcaíno
Tobias Lasser
46
0
0
15 Jan 2024
Deep Neural Network Solutions for Oscillatory Fredholm Integral
  Equations
Deep Neural Network Solutions for Oscillatory Fredholm Integral Equations
Jie Jiang
Yuesheng Xu
54
3
0
13 Jan 2024
Setting the Record Straight on Transformer Oversmoothing
Setting the Record Straight on Transformer Oversmoothing
G. Dovonon
M. Bronstein
Matt J. Kusner
88
6
0
09 Jan 2024
A foundation for exact binarized morphological neural networks
A foundation for exact binarized morphological neural networks
T. Aouad
Hugues Talbot
33
1
0
08 Jan 2024
When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep
  Neural Networks
When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
Haihang Wu
Wei Wang
T. Malepathirana
Damith A. Senanayake
D. Oetomo
Saman K. Halgamuge
53
2
0
06 Jan 2024
On the numerical reliability of nonsmooth autodiff: a MaxPool case study
On the numerical reliability of nonsmooth autodiff: a MaxPool case study
Ryan Boustany
88
1
0
05 Jan 2024
k-Winners-Take-All Ensemble Neural Network
k-Winners-Take-All Ensemble Neural Network
Abien Fred Agarap
A. Azcarraga
19
1
0
04 Jan 2024
Effect of Optimizer, Initializer, and Architecture of Hypernetworks on
  Continual Learning from Demonstration
Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration
Sayantan Auddy
Sebastian Bergner
J. Piater
79
0
0
31 Dec 2023
DREAM: Debugging and Repairing AutoML Pipelines
DREAM: Debugging and Repairing AutoML Pipelines
Xiaoyu Zhang
Juan Zhai
Shiqing Ma
Chao Shen
84
1
0
31 Dec 2023
Multi-Granularity Representation Learning for Sketch-based Dynamic Face
  Image Retrieval
Multi-Granularity Representation Learning for Sketch-based Dynamic Face Image Retrieval
Liang Wang
Dawei Dai
Shiyu Fu
G. Wang
CVBM3DH
61
0
0
31 Dec 2023
PINN surrogate of Li-ion battery models for parameter inference. Part I:
  Implementation and multi-fidelity hierarchies for the single-particle model
PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model
M. Hassanaly
Peter J. Weddle
Ryan N. King
Subhayan De
Alireza Doostan
Corey R. Randall
Eric J. Dufek
Andrew M. Colclasure
Kandler Smith
52
9
0
28 Dec 2023
Spike No More: Stabilizing the Pre-training of Large Language Models
Spike No More: Stabilizing the Pre-training of Large Language Models
Sho Takase
Shun Kiyono
Sosuke Kobayashi
Jun Suzuki
83
15
0
28 Dec 2023
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning
Huiling Qin
Xianyuan Zhan
Yuanxun Li
Yu Zheng
62
0
0
28 Dec 2023
PanGu-$π$: Enhancing Language Model Architectures via Nonlinearity
  Compensation
PanGu-πππ: Enhancing Language Model Architectures via Nonlinearity Compensation
Yunhe Wang
Hanting Chen
Yehui Tang
Tianyu Guo
Kai Han
...
Qinghua Xu
Qun Liu
Jun Yao
Chao Xu
Dacheng Tao
128
20
0
27 Dec 2023
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in
  Image Restoration
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration
J. Fu
Qi Xie
Deyu Meng
Zongben Xu
94
8
0
25 Dec 2023
End-to-End 3D Object Detection using LiDAR Point Cloud
End-to-End 3D Object Detection using LiDAR Point Cloud
Gaurav Raut
A. Patole
3DPC
53
2
0
24 Dec 2023
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
Max Zimmer
Megi Andoni
Christoph Spiegel
Sebastian Pokutta
VLM
175
10
0
23 Dec 2023
SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization
SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization
Youssef Mourchid
M. Donias
Y. Berthoumieu
Mohamed Najim
GAN
117
1
0
21 Dec 2023
Fast Cell Library Characterization for Design Technology Co-Optimization
  Based on Graph Neural Networks
Fast Cell Library Characterization for Design Technology Co-Optimization Based on Graph Neural Networks
Tianliang Ma
Guangxi Fan
Zhi-Bing Deng
Xuguang Sun
Kainlu Low
Leilai Shao
19
3
0
20 Dec 2023
FSscore: A Machine Learning-based Synthetic Feasibility Score Leveraging
  Human Expertise
FSscore: A Machine Learning-based Synthetic Feasibility Score Leveraging Human Expertise
Rebecca M. Neeser
Bruno Correia
Philippe Schwaller
43
1
0
20 Dec 2023
Teeth Localization and Lesion Segmentation in CBCT Images using
  SpatialConfiguration-Net and U-Net
Teeth Localization and Lesion Segmentation in CBCT Images using SpatialConfiguration-Net and U-Net
Arnela Hadzic
B. Kirnbauer
Darko Štern
M. Urschler
49
2
0
19 Dec 2023
Principled Weight Initialisation for Input-Convex Neural Networks
Principled Weight Initialisation for Input-Convex Neural Networks
Pieter-Jan Hoedt
Günter Klambauer
97
7
0
19 Dec 2023
MossFormer2: Combining Transformer and RNN-Free Recurrent Network for
  Enhanced Time-Domain Monaural Speech Separation
MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation
Shengkui Zhao
Yukun Ma
Chongjia Ni
Chong Zhang
Hao Wang
Trung Hieu Nguyen
Kun Zhou
J. Yip
Dianwen Ng
Bin Ma
92
29
0
19 Dec 2023
CaRe-CNN: Cascading Refinement CNN for Myocardial Infarct Segmentation
  with Microvascular Obstructions
CaRe-CNN: Cascading Refinement CNN for Myocardial Infarct Segmentation with Microvascular Obstructions
Franz Thaler
M. Gsell
Gernot Plank
M. Urschler
75
1
0
18 Dec 2023
Detecting QT prolongation From a Single-lead ECG With Deep Learning
Detecting QT prolongation From a Single-lead ECG With Deep Learning
Ridwan Alam
Aaron D Aguirre
Collin M. Stultz
69
5
0
17 Dec 2023
Deep Similarity Learning Loss Functions in Data Transformation for Class
  Imbalance
Deep Similarity Learning Loss Functions in Data Transformation for Class Imbalance
Damian Horna
Mateusz Lango
Jerzy Stefanowski
43
1
0
16 Dec 2023
Fragility, Robustness and Antifragility in Deep Learning
Fragility, Robustness and Antifragility in Deep Learning
Chandresh Pravin
Ivan Martino
Giuseppe Nicosia
Varun Ojha
81
0
0
15 Dec 2023
On the locality of local neural operator in learning fluid dynamics
On the locality of local neural operator in learning fluid dynamics
Ximeng Ye
Hongyu Li
Jingjie Huang
Guoliang Qin
AI4CE
77
10
0
15 Dec 2023
PAD: Self-Supervised Pre-Training with Patchwise-Scale Adapter for
  Infrared Images
PAD: Self-Supervised Pre-Training with Patchwise-Scale Adapter for Infrared Images
Tao Zhang
Kun Ding
Jinyong Wen
Yu Xiong
Zeyu Zhang
Shiming Xiang
Chunhong Pan
55
3
0
13 Dec 2023
Principled Weight Initialization for Hypernetworks
Principled Weight Initialization for Hypernetworks
Oscar Chang
Lampros Flokas
Hod Lipson
79
77
0
13 Dec 2023
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any
  Biomedical Image
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
Hallee E. Wong
Marianne Rakic
John Guttag
Adrian V. Dalca
78
21
0
12 Dec 2023
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for
  Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
Thong Nguyen
Xiaobao Wu
Xinshuai Dong
Khoi M. Le
Zhiyuan Hu
Cong-Duy Nguyen
See-Kiong Ng
Anh Tuan Luu
70
2
0
12 Dec 2023
Understanding and Leveraging the Learning Phases of Neural Networks
Understanding and Leveraging the Learning Phases of Neural Networks
Johannes Schneider
Mohit Prabhushankar
AI4CE
50
1
0
11 Dec 2023
Adaptive Human Trajectory Prediction via Latent Corridors
Adaptive Human Trajectory Prediction via Latent Corridors
Neerja Thakkar
K. Mangalam
Andrea V. Bajcsy
Jitendra Malik
77
5
0
11 Dec 2023
Damage GAN: A Generative Model for Imbalanced Data
Damage GAN: A Generative Model for Imbalanced Data
Ali Anaissi
Yuanzhe Jia
Ali Braytee
M. Naji
Widad Alyassine
GAN
57
1
0
08 Dec 2023
Low-power, Continuous Remote Behavioral Localization with Event Cameras
Low-power, Continuous Remote Behavioral Localization with Event Cameras
Friedhelm Hamann
Suman Ghosh
Ignacio Juarez Martinez
Tom Hart
Alex Kacelnik
Guillermo Gallego
67
8
0
06 Dec 2023
ShareCMP: Polarization-Aware RGB-P Semantic Segmentation
ShareCMP: Polarization-Aware RGB-P Semantic Segmentation
Zhuoyan Liu
Bo Wang
Lizhi Wang
Chenyu Mao
Ye Li
92
1
0
06 Dec 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting
  Computation in Superposition
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
Nicolas Menet
Michael Hersche
G. Karunaratne
Luca Benini
Abu Sebastian
Abbas Rahimi
78
14
0
05 Dec 2023
Analyzing and Improving the Training Dynamics of Diffusion Models
Analyzing and Improving the Training Dynamics of Diffusion Models
Tero Karras
M. Aittala
J. Lehtinen
Janne Hellsten
Timo Aila
S. Laine
153
203
0
05 Dec 2023
On the Initialization of Graph Neural Networks
On the Initialization of Graph Neural Networks
Jiahang Li
Ya-Zhi Song
Xiang Song
David Wipf
GNN
70
5
0
05 Dec 2023
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