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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
Understanding Certified Training with Interval Bound Propagation
Understanding Certified Training with Interval Bound Propagation
Yuhao Mao
Mark Niklas Muller
Marc Fischer
Martin Vechev
AAML
98
18
0
17 Jun 2023
Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation
Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation
Ping Li
Junjie Chen
Binbin Lin
Xianghua Xu
118
21
0
17 Jun 2023
Towards Better Orthogonality Regularization with Disentangled Norm in
  Training Deep CNNs
Towards Better Orthogonality Regularization with Disentangled Norm in Training Deep CNNs
Changhao Wu
Shenan Zhang
Fangsong Long
Ziliang Yin
Tuo Leng
26
1
0
16 Jun 2023
Power-law Dynamic arising from machine learning
Power-law Dynamic arising from machine learning
Wei Chen
Weitao Du
Zhi-Ming Ma
Qi Meng
31
0
0
16 Jun 2023
Understanding Optimization of Deep Learning via Jacobian Matrix and
  Lipschitz Constant
Understanding Optimization of Deep Learning via Jacobian Matrix and Lipschitz Constant
Xianbiao Qi
Jianan Wang
Lei Zhang
50
0
0
15 Jun 2023
Learnable Weight Initialization for Volumetric Medical Image
  Segmentation
Learnable Weight Initialization for Volumetric Medical Image Segmentation
Shahina Kunhimon
Abdelrahman M. Shaker
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
85
1
0
15 Jun 2023
Multi-Loss Convolutional Network with Time-Frequency Attention for
  Speech Enhancement
Multi-Loss Convolutional Network with Time-Frequency Attention for Speech Enhancement
Liang Wan
Hongqing Liu
Yi Zhou
Jie Ji
61
2
0
15 Jun 2023
HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack
  Propagation
HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation
Shengyu Chen
Shihang Feng
Yao Huang
Z. Lei
Xiaowei Jia
Youzuo Lin
Estaben Rougier
AI4CE
101
0
0
14 Jun 2023
High-performance deep spiking neural networks with 0.3 spikes per neuron
High-performance deep spiking neural networks with 0.3 spikes per neuron
A. Stanojević
Stanislaw Wo'zniak
G. Bellec
G. Cherubini
A. Pantazi
W. Gerstner
116
19
0
14 Jun 2023
Extending CLIP's Image-Text Alignment to Referring Image Segmentation
Extending CLIP's Image-Text Alignment to Referring Image Segmentation
Seoyeon Kim
Minguk Kang
Dongwon Kim
Jaesik Park
Suha Kwak
VLM
96
11
0
14 Jun 2023
Amortized Simulation-Based Frequentist Inference for Tractable and
  Intractable Likelihoods
Amortized Simulation-Based Frequentist Inference for Tractable and Intractable Likelihoods
A. A. Kadhim
Harrison B. Prosper
O. Prosper
10
2
0
13 Jun 2023
Malafide: a novel adversarial convolutive noise attack against deepfake
  and spoofing detection systems
Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems
Michele Panariello
W. Ge
Hemlata Tak
Massimiliano Todisco
Nicholas W. D. Evans
AAML
64
14
0
13 Jun 2023
A Brief Review of Hypernetworks in Deep Learning
A Brief Review of Hypernetworks in Deep Learning
Vinod Kumar Chauhan
Jiandong Zhou
Ping Lu
Soheila Molaei
David Clifton
138
106
0
12 Jun 2023
Diverse Projection Ensembles for Distributional Reinforcement Learning
Diverse Projection Ensembles for Distributional Reinforcement Learning
Moritz A. Zanger
Wendelin Bohmer
M. Spaan
57
6
0
12 Jun 2023
Neural Architecture Design and Robustness: A Dataset
Neural Architecture Design and Robustness: A Dataset
Steffen Jung
Jovita Lukasik
Margret Keuper
OODAAML
84
20
0
11 Jun 2023
Hidden symmetries of ReLU networks
Hidden symmetries of ReLU networks
J. E. Grigsby
Kathryn A. Lindsey
David Rolnick
79
23
0
09 Jun 2023
WindowNet: Learnable Windows for Chest X-ray Classification
WindowNet: Learnable Windows for Chest X-ray Classification
Alessandro Wollek
Sardi Hyska
B. Sabel
Michael Ingrisch
Tobias Lasser
57
2
0
09 Jun 2023
HRTF upsampling with a generative adversarial network using a gnomonic
  equiangular projection
HRTF upsampling with a generative adversarial network using a gnomonic equiangular projection
Aidan O. T. Hogg
Mads Jenkins
Helena E. Liu
Isaac Squires
Samuel J. Cooper
L. Picinali
45
15
0
09 Jun 2023
Fair yet Asymptotically Equal Collaborative Learning
Fair yet Asymptotically Equal Collaborative Learning
Xiaoqiang Lin
Xinyi Xu
See-Kiong Ng
Chuan-Sheng Foo
Bryan Kian Hsiang Low
FedML
45
9
0
09 Jun 2023
Two Independent Teachers are Better Role Model
Two Independent Teachers are Better Role Model
A. Khaled
A. A. Mubarak
Kun He
76
1
0
09 Jun 2023
Efficient Uncertainty Quantification and Reduction for
  Over-Parameterized Neural Networks
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
Ziyi Huang
Henry Lam
Haofeng Zhang
UQCV
84
7
0
09 Jun 2023
Generalizable Lightweight Proxy for Robust NAS against Diverse
  Perturbations
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations
Hyeonjeong Ha
Minseon Kim
Sung Ju Hwang
OODAAML
68
6
0
08 Jun 2023
Convolutional Recurrent Neural Network with Attention for 3D Speech
  Enhancement
Convolutional Recurrent Neural Network with Attention for 3D Speech Enhancement
Han Yin
Jisheng Bai
Mou Wang
S. Huang
Yafei Jia
Jianfeng Chen
17
0
0
08 Jun 2023
Get More for Less in Decentralized Learning Systems
Get More for Less in Decentralized Learning Systems
Akash Dhasade
Anne-Marie Kermarrec
Rafael Pires
Rishi Sharma
Milos Vujasinovic
Jeffrey Wigger
70
8
0
07 Jun 2023
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time
  Adaptation
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
Jiaming Liu
Senqiao Yang
Peidong Jia
Renrui Zhang
Ming Lu
Yandong Guo
Wei Xue
Shanghang Zhang
TTAOODVLM
103
40
0
07 Jun 2023
Manga Rescreening with Interpretable Screentone Representation
Manga Rescreening with Interpretable Screentone Representation
M. Xie
Chengze Li
T. Wong
35
0
0
07 Jun 2023
Pseudo Session-Based Recommendation with Hierarchical Embedding and
  Session Attributes
Pseudo Session-Based Recommendation with Hierarchical Embedding and Session Attributes
Yuta Sumiya
Ryusei Numata
Satoshi Takahashi
21
0
0
06 Jun 2023
Classification of Edge-dependent Labels of Nodes in Hypergraphs
Classification of Edge-dependent Labels of Nodes in Hypergraphs
Minyoung Choe
Sunwoo Kim
Jaemin Yoo
Kijung Shin
GNN
80
13
0
05 Jun 2023
Unlocking the Potential of Federated Learning for Deeper Models
Unlocking the Potential of Federated Learning for Deeper Models
Hao Wang
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Jiaxing Shen
FedMLAI4CE
75
1
0
05 Jun 2023
Active Inference-Based Optimization of Discriminative Neural Network
  Classifiers
Active Inference-Based Optimization of Discriminative Neural Network Classifiers
Faezeh Fallah
58
0
0
04 Jun 2023
Temporal Dynamic Quantization for Diffusion Models
Temporal Dynamic Quantization for Diffusion Models
Junhyuk So
Jungwon Lee
Daehyun Ahn
Hyungjun Kim
Eunhyeok Park
DiffMMQ
108
66
0
04 Jun 2023
Overcoming the Stability Gap in Continual Learning
Overcoming the Stability Gap in Continual Learning
Md Yousuf Harun
Christopher Kanan
AI4CE
82
11
0
02 Jun 2023
Binary and Ternary Natural Language Generation
Binary and Ternary Natural Language Generation
Zechun Liu
Barlas Oğuz
Aasish Pappu
Yangyang Shi
Raghuraman Krishnamoorthi
MQ
96
6
0
02 Jun 2023
Uniform Convergence of Deep Neural Networks with Lipschitz Continuous
  Activation Functions and Variable Widths
Uniform Convergence of Deep Neural Networks with Lipschitz Continuous Activation Functions and Variable Widths
Yuesheng Xu
Haizhang Zhang
132
3
0
02 Jun 2023
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule
  Representations
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations
Pengcheng Jiang
Cao Xiao
Tianfan Fu
Jimeng Sun
101
3
0
02 Jun 2023
Initial Guessing Bias: How Untrained Networks Favor Some Classes
Initial Guessing Bias: How Untrained Networks Favor Some Classes
Emanuele Francazi
Aurelien Lucchi
Marco Baity-Jesi
AI4CE
75
4
0
01 Jun 2023
On the Weight Dynamics of Deep Normalized Networks
On the Weight Dynamics of Deep Normalized Networks
Christian H. X. Ali Mehmeti-Göpel
Michael Wand
89
2
0
01 Jun 2023
Regularizing Towards Soft Equivariance Under Mixed Symmetries
Regularizing Towards Soft Equivariance Under Mixed Symmetries
Hyunsung Kim
Hyungi Lee
Hongseok Yang
Juho Lee
99
6
0
01 Jun 2023
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive
  Divergence with Local Mode Initialization
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization
Shohei Taniguchi
Masahiro Suzuki
Yusuke Iwasawa
Yutaka Matsuo
SyDa
84
2
0
31 May 2023
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy
  Labels
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
Jian Chen
Ruiyi Zhang
Tong Yu
Rohan Sharma
Zhiqiang Xu
Tong Sun
Changyou Chen
DiffM
94
21
0
31 May 2023
Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape
Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape
Kedar Karhadkar
Michael Murray
Hanna Tseran
Guido Montúfar
53
8
0
31 May 2023
Benign Overfitting in Deep Neural Networks under Lazy Training
Benign Overfitting in Deep Neural Networks under Lazy Training
Zhenyu Zhu
Fanghui Liu
Grigorios G. Chrysos
Francesco Locatello
Volkan Cevher
AI4CE
68
10
0
30 May 2023
Prediction Error-based Classification for Class-Incremental Learning
Prediction Error-based Classification for Class-Incremental Learning
Michal Zajkac
Tinne Tuytelaars
Gido M. van de Ven
CLL
99
9
0
30 May 2023
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual
  Recognition
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition
Boran Han
66
8
0
30 May 2023
A Rainbow in Deep Network Black Boxes
A Rainbow in Deep Network Black Boxes
Florentin Guth
Brice Ménard
G. Rochette
S. Mallat
114
12
0
29 May 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual
  Perception?
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?
Felix Wichmann
Robert Geirhos
61
28
0
26 May 2023
Improving Knowledge Distillation via Regularizing Feature Norm and
  Direction
Improving Knowledge Distillation via Regularizing Feature Norm and Direction
Yuzhu Wang
Lechao Cheng
Manni Duan
Yongheng Wang
Zunlei Feng
Shu Kong
95
22
0
26 May 2023
Understanding Sparse Neural Networks from their Topology via
  Multipartite Graph Representations
Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations
Elia Cunegatti
Matteo Farina
Doina Bucur
Giovanni Iacca
85
1
0
26 May 2023
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging
Fabian David Schmidt
Ivan Vulić
Goran Glavaš
75
9
0
26 May 2023
CNN Feature Map Augmentation for Single-Source Domain Generalization
CNN Feature Map Augmentation for Single-Source Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
80
3
0
26 May 2023
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