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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
Generator Born from Classifier
Generator Born from Classifier
Runpeng Yu
Xinchao Wang
63
4
0
05 Dec 2023
Steerers: A framework for rotation equivariant keypoint descriptors
Steerers: A framework for rotation equivariant keypoint descriptors
Georg Bökman
Johan Edstedt
Michael Felsberg
Fredrik Kahl
LLMSV
75
12
0
04 Dec 2023
Effective Adapter for Face Recognition in the Wild
Effective Adapter for Face Recognition in the Wild
Yunhao Liu
Yu-Ju Tsai
Kelvin C. K. Chan
Xiangtai Li
Lu Qi
Ming-Hsuan Yang
CVBM
62
1
0
04 Dec 2023
Rethinking Adversarial Training with Neural Tangent Kernel
Rethinking Adversarial Training with Neural Tangent Kernel
Guanlin Li
Han Qiu
Shangwei Guo
Jiwei Li
Tianwei Zhang
AAML
143
0
0
04 Dec 2023
Assessing Neural Network Representations During Training Using
  Noise-Resilient Diffusion Spectral Entropy
Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy
Danqi Liao
Chen Liu
Benjamin W. Christensen
Alexander Tong
Guillaume Huguet
Guy Wolf
Maximilian Nickel
Ian M. Adelstein
Smita Krishnaswamy
DiffM
100
6
0
04 Dec 2023
Motion Informed Needle Segmentation in Ultrasound Images
Motion Informed Needle Segmentation in Ultrasound Images
Raghavv Goel
Cecilia G. Morales
Manpreet Singh
Artur Dubrawski
J. Galeotti
Howie Choset
46
0
0
02 Dec 2023
Virtual Category Learning: A Semi-Supervised Learning Method for Dense
  Prediction with Extremely Limited Labels
Virtual Category Learning: A Semi-Supervised Learning Method for Dense Prediction with Extremely Limited Labels
Changrui Chen
Jungong Han
Kurt Debattista
96
31
0
02 Dec 2023
ResNLS: An Improved Model for Stock Price Forecasting
ResNLS: An Improved Model for Stock Price Forecasting
Yuanzhe Jia
Ali Anaissi
Basem Suleiman
AI4TSAIFin
111
5
0
02 Dec 2023
REDUCR: Robust Data Downsampling Using Class Priority Reweighting
REDUCR: Robust Data Downsampling Using Class Priority Reweighting
William Bankes
George Hughes
Ilija Bogunovic
Zi Wang
66
4
0
01 Dec 2023
Hypergraph Node Representation Learning with One-Stage Message Passing
Hypergraph Node Representation Learning with One-Stage Message Passing
Shilin Qu
Weiqing Wang
Yuanxin Li
Xin Zhou
Fajie Yuan
75
1
0
01 Dec 2023
Initializing Models with Larger Ones
Initializing Models with Larger Ones
Zhiqiu Xu
Yanjie Chen
Kirill Vishniakov
Yida Yin
Zhiqiang Shen
Trevor Darrell
Lingjie Liu
Zhuang Liu
93
21
0
30 Nov 2023
Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce
  Grokking
Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking
Kaifeng Lyu
Jikai Jin
Zhiyuan Li
Simon S. Du
Jason D. Lee
Wei Hu
AI4CE
92
38
0
30 Nov 2023
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with
  Multi-Resolution Feature Perturbation
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation
Sumanth Udupa
Prajwal Gurunath
Aniruddh Sikdar
Suresh Sundaram
107
9
0
30 Nov 2023
The Trifecta: Three simple techniques for training deeper
  Forward-Forward networks
The Trifecta: Three simple techniques for training deeper Forward-Forward networks
Thomas Dooms
Ing Jyh Tsang
José Oramas
69
4
0
29 Nov 2023
CRAFT: Contextual Re-Activation of Filters for face recognition Training
CRAFT: Contextual Re-Activation of Filters for face recognition Training
Aman Bhatta
Domingo Mery
Haiyu Wu
Kevin W. Bowyer
CVBM
66
2
0
29 Nov 2023
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ
  Segmentation from Radiology Scans
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans
Koushik Biswas
Debesh Jha
Nikhil Kumar Tomar
Gorkem Durak
Alpay Medetalibeyoglu
M. Antalek
Yury Velichko
Daniela Ladner
Amir Bohrani
Ulas Bagci
MedIm
48
1
0
29 Nov 2023
LayerCollapse: Adaptive compression of neural networks
LayerCollapse: Adaptive compression of neural networks
Soheil Zibakhsh Shabgahi
Mohammad Soheil Shariff
F. Koushanfar
AI4CE
61
1
0
29 Nov 2023
Threshold Breaker: Can Counter-Based RowHammer Prevention Mechanisms
  Truly Safeguard DRAM?
Threshold Breaker: Can Counter-Based RowHammer Prevention Mechanisms Truly Safeguard DRAM?
Ranyang Zhou
Jacqueline T. Liu
Sabbir Ahmed
Nakul Kochar
Adnan Siraj Rakin
Shaahin Angizi
64
5
0
28 Nov 2023
GloNets: Globally Connected Neural Networks
GloNets: Globally Connected Neural Networks
Antonio Di Cecco
C. Metta
M. Fantozzi
F. Morandin
Maurizio Parton
56
2
0
27 Nov 2023
Stability-Informed Initialization of Neural Ordinary Differential
  Equations
Stability-Informed Initialization of Neural Ordinary Differential Equations
Theodor Westny
Arman Mohammadi
Daniel Jung
Erik Frisk
120
1
0
27 Nov 2023
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by
  Multi-scale Feature Reuse
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature Reuse
Yan Pei
Jiahui Xu
Qianhao Chen
Chenhao Wang
Feng Yu
Lisan Zhang
Wei Luo
38
4
0
27 Nov 2023
Controllable Expensive Multi-objective Learning with Warm-starting
  Bayesian Optimization
Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization
Quang-Huy Nguyen
L. P. Hoang
Hoang V. Viet
Dung D. Le
43
0
0
26 Nov 2023
Convergence Analysis for Learning Orthonormal Deep Linear Neural
  Networks
Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks
Zhen Qin
Xuwei Tan
Zhihui Zhu
109
1
0
24 Nov 2023
Deep Learning as a Method for Inversion of NMR Signals
Deep Learning as a Method for Inversion of NMR Signals
Julian B. B. Beckmann
M. Mantle
A. Sederman
L. Gladden
32
1
0
22 Nov 2023
Recurrent neural networks and transfer learning for elasto-plasticity in
  woven composites
Recurrent neural networks and transfer learning for elasto-plasticity in woven composites
E. Ghane
Martin Fagerström
M. Mirkhalaf
AI4CE
73
12
0
22 Nov 2023
CompenHR: Efficient Full Compensation for High-resolution Projector
CompenHR: Efficient Full Compensation for High-resolution Projector
Yuxi Wang
H. Ling
Bingyao Huang
3DV
61
4
0
22 Nov 2023
The limitation of neural nets for approximation and optimization
The limitation of neural nets for approximation and optimization
Tommaso Giovannelli
Oumaima Sohab
Luis Nunes Vicente
20
2
0
21 Nov 2023
Practical cross-sensor color constancy using a dual-mapping strategy
Practical cross-sensor color constancy using a dual-mapping strategy
Shuwei Yue
Minchen Wei
39
0
0
20 Nov 2023
Can we infer the presence of Differential Privacy in Deep Learning
  models' weights? Towards more secure Deep Learning
Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning
Daniel Jiménez-López
Daniel
Nuria Rodríguez Barroso
Nuria
M. V. Luzón
M. Victoria
Francisco Herrera
Francisco
AAML
52
0
0
20 Nov 2023
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning
Yiming Wang
Yu Lin
Xiaodong Zeng
Guannan Zhang
MoMe
137
21
0
20 Nov 2023
Pair-wise Layer Attention with Spatial Masking for Video Prediction
Pair-wise Layer Attention with Spatial Masking for Video Prediction
Ping Li
Chenhan Zhang
Zheng Yang
Xianghua Xu
Mingli Song
68
0
0
19 Nov 2023
Low-Precision Floating-Point for Efficient On-Board Deep Neural Network
  Processing
Low-Precision Floating-Point for Efficient On-Board Deep Neural Network Processing
Cédric Gernigon
Silviu-Ioan Filip
Olivier Sentieys
Clément Coggiola
Mickael Bruno
MQ
51
8
0
18 Nov 2023
Partially Randomizing Transformer Weights for Dialogue Response
  Diversity
Partially Randomizing Transformer Weights for Dialogue Response Diversity
Jing Yang Lee
Kong Aik Lee
Woon-Seng Gan
95
0
0
18 Nov 2023
Using linear initialisation to improve speed of convergence and
  fully-trained error in Autoencoders
Using linear initialisation to improve speed of convergence and fully-trained error in Autoencoders
Marcel Marais
Mate Hartstein
G. Cevora
LLMSVODL
16
0
0
17 Nov 2023
Spatial Bayesian Neural Networks
Spatial Bayesian Neural Networks
A. Zammit‐Mangion
Michael D. Kaminski
Ba-Hien Tran
Maurizio Filippone
Noel Cressie
BDL
53
9
0
16 Nov 2023
Review of AlexNet for Medical Image Classification
Review of AlexNet for Medical Image Classification
Wenhao Tang
Junding Sun
Shuihua Wang
Yudong Zhang
SSeg
60
13
0
15 Nov 2023
PadChannel: Improving CNN Performance through Explicit Padding Encoding
PadChannel: Improving CNN Performance through Explicit Padding Encoding
Juho Kim
16
0
0
13 Nov 2023
Deep Fast Vision: A Python Library for Accelerated Deep Transfer
  Learning Vision Prototyping
Deep Fast Vision: A Python Library for Accelerated Deep Transfer Learning Vision Prototyping
Fabi Prezja
CLIP
49
1
0
10 Nov 2023
Minimum norm interpolation by perceptra: Explicit regularization and
  implicit bias
Minimum norm interpolation by perceptra: Explicit regularization and implicit bias
Jiyoung Park
Ian Pelakh
Stephan Wojtowytsch
82
1
0
10 Nov 2023
Dual input stream transformer for vertical drift correction in
  eye-tracking reading data
Dual input stream transformer for vertical drift correction in eye-tracking reading data
Thomas M. Mercier
Marcin Budka
Martin R. Vasilev
Julie A. Kirkby
Bernhard Angele
T. Slattery
60
4
0
10 Nov 2023
A theory for the sparsity emerged in the Forward Forward algorithm
A theory for the sparsity emerged in the Forward Forward algorithm
Yukun Yang
88
7
0
09 Nov 2023
Optimal Deep Neural Network Approximation for Korobov Functions with
  respect to Sobolev Norms
Optimal Deep Neural Network Approximation for Korobov Functions with respect to Sobolev Norms
Yahong Yang
Yulong Lu
66
3
0
08 Nov 2023
Deep Learning-Based Frequency Offset Estimation
Deep Learning-Based Frequency Offset Estimation
Tao Chen
Shilian Zheng
Jiawei Zhu
Qi Xuan
Xiaoniu Yang
20
2
0
08 Nov 2023
Analysis of NaN Divergence in Training Monocular Depth Estimation Model
Analysis of NaN Divergence in Training Monocular Depth Estimation Model
Bum Jun Kim
Hyeonah Jang
Sang Woo Kim
74
0
0
07 Nov 2023
Improved weight initialization for deep and narrow feedforward neural
  network
Improved weight initialization for deep and narrow feedforward neural network
Hyunwoo Lee
Yunho Kim
Seungyeop Yang
Hayoung Choi
ODL
138
3
0
07 Nov 2023
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
Sotiris Anagnostidis
Gregor Bachmann
Imanol Schlag
Thomas Hofmann
67
2
0
06 Nov 2023
Perturbation-based Active Learning for Question Answering
Perturbation-based Active Learning for Question Answering
Fan Luo
Mihai Surdeanu
81
0
0
04 Nov 2023
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices
Jianlei Yang
Jiacheng Liao
Fanding Lei
Meichen Liu
Junyi Chen
Lingkun Long
Han Wan
Bei Yu
Weisheng Zhao
MoE
135
2
0
03 Nov 2023
Align Your Prompts: Test-Time Prompting with Distribution Alignment for
  Zero-Shot Generalization
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
Jameel Hassan
Hanan Gani
Noor Hussein
Muhammad Uzair Khattak
Muzammal Naseer
Fahad Shahbaz Khan
Salman Khan
VLMOOD
131
68
0
02 Nov 2023
Upper and lower bounds for the Lipschitz constant of random neural networks
Upper and lower bounds for the Lipschitz constant of random neural networks
Paul Geuchen
Thomas Heindl
Dominik Stöger
Felix Voigtlaender
AAML
107
0
0
02 Nov 2023
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