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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 / 5,461 papers shown
Title
Regularized Q-learning through Robust Averaging
Regularized Q-learning through Robust Averaging
Peter Schmitt-Förster
Tobias Sutter
OOD
45
0
0
03 May 2024
Model-based reinforcement learning for protein backbone design
Model-based reinforcement learning for protein backbone design
Frederic Renard
Cyprien Courtot
Alfredo Reichlin
Oliver Bent
103
0
0
03 May 2024
Efficient Deep Learning with Decorrelated Backpropagation
Efficient Deep Learning with Decorrelated Backpropagation
Sander Dalm
Joshua Offergeld
Nasir Ahmad
Marcel van Gerven
173
5
0
03 May 2024
Towards General Neural Surrogate Solvers with Specialized Neural
  Accelerators
Towards General Neural Surrogate Solvers with Specialized Neural Accelerators
Chenkai Mao
Robert Lupoiu
Tianxiang Dai
Mingkun Chen
Jonathan A. Fan
AI4CE
73
6
0
02 May 2024
Development of Skip Connection in Deep Neural Networks for Computer
  Vision and Medical Image Analysis: A Survey
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey
Guoping Xu
Xiaxia Wang
Xinglong Wu
Xuesong Leng
Yongchao Xu
3DPC
95
11
0
02 May 2024
ATOM: Attention Mixer for Efficient Dataset Distillation
ATOM: Attention Mixer for Efficient Dataset Distillation
Samir Khaki
A. Sajedi
Kai Wang
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
134
3
0
02 May 2024
KITE: A Kernel-based Improved Transferability Estimation Method
KITE: A Kernel-based Improved Transferability Estimation Method
Yunhui Guo
110
0
0
01 May 2024
A rank decomposition for the topological classification of neural
  representations
A rank decomposition for the topological classification of neural representations
Kosio Beshkov
Gaute T. Einevoll
128
1
0
30 Apr 2024
ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized
  Transformers
ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers
Yuzhe Gu
Enmao Diao
100
4
0
30 Apr 2024
Machine Unlearning for Document Classification
Machine Unlearning for Document Classification
Lei Kang
Mohamed Ali Souibgui
Fei Yang
Lluís Gómez
Ernest Valveny
Dimosthenis Karatzas
MUAILaw
60
4
0
29 Apr 2024
A Universal Metric of Dataset Similarity for Cross-silo Federated
  Learning
A Universal Metric of Dataset Similarity for Cross-silo Federated Learning
Ahmed Elhussein
Gamze Gursoy
FedMLOOD
65
2
0
29 Apr 2024
DRAM-Profiler: An Experimental DRAM RowHammer Vulnerability Profiling
  Mechanism
DRAM-Profiler: An Experimental DRAM RowHammer Vulnerability Profiling Mechanism
Ranyang Zhou
Jacqueline T. Liu
Nakul Kochar
Sabbir Ahmed
Adnan Siraj Rakin
Shaahin Angizi
53
0
0
29 Apr 2024
DM-Align: Leveraging the Power of Natural Language Instructions to Make
  Changes to Images
DM-Align: Leveraging the Power of Natural Language Instructions to Make Changes to Images
Maria Mihaela Truşcǎ
Tinne Tuytelaars
Marie-Francine Moens
DiffM
74
1
0
27 Apr 2024
Hard ASH: Sparsity and the right optimizer make a continual learner
Hard ASH: Sparsity and the right optimizer make a continual learner
Santtu Keskinen
CLL
67
1
0
26 Apr 2024
Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using
  Conditional Diffusion Model
Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model
Yushen Xu
Xiaosong Li
Yuchan Jie
Haishu Tan
MedIm
59
3
0
26 Apr 2024
Adversarial Reweighting with $α$-Power Maximization for Domain
  Adaptation
Adversarial Reweighting with ααα-Power Maximization for Domain Adaptation
Xiang Gu
Xi Yu
Yan Yang
Jian Sun
Zongben Xu
118
3
0
26 Apr 2024
Exploring Learngene via Stage-wise Weight Sharing for Initializing
  Variable-sized Models
Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models
Shiyu Xia
Wenxuan Zhu
Xu Yang
Xin Geng
54
2
0
25 Apr 2024
AdaQAT: Adaptive Bit-Width Quantization-Aware Training
AdaQAT: Adaptive Bit-Width Quantization-Aware Training
Cédric Gernigon
Silviu-Ioan Filip
Olivier Sentieys
Clément Coggiola
Mickael Bruno
36
2
0
22 Apr 2024
Audio Anti-Spoofing Detection: A Survey
Audio Anti-Spoofing Detection: A Survey
Menglu Li
Yasaman Ahmadiadli
Xiao-Ping Zhang
102
25
0
22 Apr 2024
LMFNet: An Efficient Multimodal Fusion Approach for Semantic
  Segmentation in High-Resolution Remote Sensing
LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing
Tong Wang
Guanzhou Chen
Xiaodong Zhang
Chenxi Liu
Xiaoliang Tan
Jiaqi Wang
Chanjuan He
Wenlin Zhou
64
3
0
21 Apr 2024
Intrusion Detection at Scale with the Assistance of a Command-line
  Language Model
Intrusion Detection at Scale with the Assistance of a Command-line Language Model
Jiongliang Lin
Yiwen Guo
Hao Chen
23
2
0
20 Apr 2024
Social Force Embedded Mixed Graph Convolutional Network for Multi-class
  Trajectory Prediction
Social Force Embedded Mixed Graph Convolutional Network for Multi-class Trajectory Prediction
Quancheng Du
Xiao Wang
Shouguo Yin
Lingxi Li
Huansheng Ning
67
10
0
20 Apr 2024
BACS: Background Aware Continual Semantic Segmentation
BACS: Background Aware Continual Semantic Segmentation
Mostafa ElAraby
Ali Harakeh
Liam Paull
CLL
70
0
0
19 Apr 2024
Improving Prediction Accuracy of Semantic Segmentation Methods Using
  Convolutional Autoencoder Based Pre-processing Layers
Improving Prediction Accuracy of Semantic Segmentation Methods Using Convolutional Autoencoder Based Pre-processing Layers
H. Shimodaira
AI4CESSeg
96
0
0
19 Apr 2024
Approximate Wireless Communication for Lossy Gradient Updates in IoT
  Federated Learning
Approximate Wireless Communication for Lossy Gradient Updates in IoT Federated Learning
Xiang Ma
Haijian Sun
Rose Qingyang Hu
Yi Qian
75
0
0
17 Apr 2024
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers
Nithin Gopalakrishnan Nair
Jeya Maria Jose Valanarasu
Vishal M. Patel
91
1
0
15 Apr 2024
Taper-based scattering formulation of the Helmholtz equation to improve
  the training process of Physics-Informed Neural Networks
Taper-based scattering formulation of the Helmholtz equation to improve the training process of Physics-Informed Neural Networks
W. Dörfler
Mehdi Elasmi
Tim Laufer
45
0
0
15 Apr 2024
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes
Bor-Shiun Wang
Chien-Yi Wang
Wei-Chen Chiu
62
3
0
13 Apr 2024
PASA: Attack Agnostic Unsupervised Adversarial Detection using
  Prediction & Attribution Sensitivity Analysis
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis
Dipkamal Bhusal
Md Tanvirul Alam
M. K. Veerabhadran
Michael Clifford
Sara Rampazzi
Nidhi Rastogi
AAML
95
1
0
12 Apr 2024
EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams
EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams
Christen Millerdurai
Hiroyasu Akada
Jian Wang
D. Luvizon
Christian Theobalt
Vladislav Golyanik
EgoV
93
15
0
12 Apr 2024
Probing the 3D Awareness of Visual Foundation Models
Probing the 3D Awareness of Visual Foundation Models
Mohamed El Banani
Amit Raj
Kevis-Kokitsi Maninis
Abhishek Kar
Yuanzhen Li
Michael Rubinstein
Deqing Sun
Leonidas Guibas
Justin Johnson
Varun Jampani
101
86
0
12 Apr 2024
NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark Dataset
NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark Dataset
Rongjian Xu
Zhilu Zhang
Ren-Rong Wu
Wangmeng Zuo
103
2
0
12 Apr 2024
An inclusive review on deep learning techniques and their scope in
  handwriting recognition
An inclusive review on deep learning techniques and their scope in handwriting recognition
Sukhdeep Singh
Sudhir Rohilla
Anuj Sharma
53
0
0
10 Apr 2024
CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for
  Modeling Complex Systems and Data Assimilation
CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data Assimilation
Chuanqi Chen
Nan Chen
Jin-Long Wu
AI4CE
78
4
0
10 Apr 2024
Fortifying Fully Convolutional Generative Adversarial Networks for Image
  Super-Resolution Using Divergence Measures
Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures
Arkaprabha Basu
Kushal Bose
S. S. Mullick
A. Chakrabarty
Swagatam Das
78
1
0
09 Apr 2024
Automatic Defect Detection in Sewer Network Using Deep Learning Based
  Object Detector
Automatic Defect Detection in Sewer Network Using Deep Learning Based Object Detector
Bach Ha
Birgit Schalter
Laura White
J. Köhler
ObjDAI4CE
43
2
0
09 Apr 2024
Variational Stochastic Gradient Descent for Deep Neural Networks
Variational Stochastic Gradient Descent for Deep Neural Networks
Haotian Chen
Anna Kuzina
Babak Esmaeili
Jakub M. Tomczak
106
0
0
09 Apr 2024
Impact of LiDAR visualisations on semantic segmentation of
  archaeological objects
Impact of LiDAR visualisations on semantic segmentation of archaeological objects
Raveerat Jaturapitpornchai
Giulio Poggi
Gregory Sech
Žiga Kokalj
M. Fiorucci
Arianna Traviglia
21
0
0
08 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A
  Survey
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey
Naveen Karunanayake
Ravin Gunawardena
Suranga Seneviratne
Sanjay Chawla
OOD
91
7
0
08 Apr 2024
To Cool or not to Cool? Temperature Network Meets Large Foundation
  Models via DRO
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
Zi-Hao Qiu
Siqi Guo
Mao Xu
Tuo Zhao
Lijun Zhang
Tianbao Yang
AI4TSAI4CE
117
4
0
06 Apr 2024
Learning Correlation Structures for Vision Transformers
Learning Correlation Structures for Vision Transformers
Manjin Kim
Paul Hongsuck Seo
Cordelia Schmid
Minsu Cho
ViT
91
11
0
05 Apr 2024
Transfer learning applications for anomaly detection in wind turbines
Transfer learning applications for anomaly detection in wind turbines
C. Roelofs
Christian Gück
S. Faulstich
117
3
0
03 Apr 2024
Incremental Learning with Concept Drift Detection and Prototype-based
  Embeddings for Graph Stream Classification
Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification
Kleanthis Malialis
Jin Li
C. Panayiotou
Marios M. Polycarpou
CLLAI4TS
68
1
0
03 Apr 2024
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
Fanxu Meng
Zhaohui Wang
Muhan Zhang
VLM
155
104
0
03 Apr 2024
Alpha Invariance: On Inverse Scaling Between Distance and Volume Density
  in Neural Radiance Fields
Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields
Joshua Ahn
Haochen Wang
Raymond A. Yeh
G. Shakhnarovich
50
0
0
02 Apr 2024
CAM-Based Methods Can See through Walls
CAM-Based Methods Can See through Walls
Magamed Taimeskhanov
R. Sicre
Damien Garreau
61
1
0
02 Apr 2024
Synthetic Data for Robust Stroke Segmentation
Synthetic Data for Robust Stroke Segmentation
Liam Chalcroft
Ioannis Pappas
Cathy J. Price
John Ashburner
52
1
0
02 Apr 2024
Capturing Shock Waves by Relaxation Neural Networks
Capturing Shock Waves by Relaxation Neural Networks
Nan Zhou
Zheng Ma
PINN
47
1
0
01 Apr 2024
Structured Initialization for Attention in Vision Transformers
Structured Initialization for Attention in Vision Transformers
Jianqiao Zheng
Xueqian Li
Simon Lucey
ViT
66
1
0
01 Apr 2024
A comparison of Single- and Double-generator formalisms for
  Thermodynamics-Informed Neural Networks
A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks
Pau Urdeitx
Ic´ıar Alfaro
David González
Francisco Chinesta
Elías Cueto
AI4CE
66
2
0
01 Apr 2024
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