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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 / 5,469 papers shown
Title
Impact of PolSAR pre-processing and balancing methods on complex-valued
  neural networks segmentation tasks
Impact of PolSAR pre-processing and balancing methods on complex-valued neural networks segmentation tasks
J. A. Barrachina
Chengfang Ren
C. Morisseau
G. Vieillard
J. Ovarlez
136
2
0
28 Oct 2022
Adaptive Mask-based Pyramid Network for Realistic Bokeh Rendering
Adaptive Mask-based Pyramid Network for Realistic Bokeh Rendering
K. Georgiadis
Albert Saà-Garriga
M. K. Yucel
Anastasios Drosou
Bruno Manganelli
3DH
89
7
0
28 Oct 2022
Exploring the Effects of Channel Sparsity on Neural Network Pruning for
  Acoustic Scene Classification
Exploring the Effects of Channel Sparsity on Neural Network Pruning for Acoustic Scene Classification
Yiqian Cai
Shengchen Li
38
0
0
28 Oct 2022
Subsidiary Prototype Alignment for Universal Domain Adaptation
Subsidiary Prototype Alignment for Universal Domain Adaptation
Jogendra Nath Kundu
Suvaansh Bhambri
Akshay Ravindra Kulkarni
Hiran Sarkar
Varun Jampani
R. Venkatesh Babu
82
23
0
28 Oct 2022
UX-NET: Filter-and-Process-based Improved U-Net for Real-time
  Time-domain Audio Separation
UX-NET: Filter-and-Process-based Improved U-Net for Real-time Time-domain Audio Separation
Kashyap Patel
A. Kovalyov
Issa Panahi
50
6
0
28 Oct 2022
Transformers meet Stochastic Block Models: Attention with Data-Adaptive
  Sparsity and Cost
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost
Sungjun Cho
Seonwoo Min
Jinwoo Kim
Moontae Lee
Honglak Lee
Seunghoon Hong
87
3
0
27 Oct 2022
Multi-layered Discriminative Restricted Boltzmann Machine with Untrained
  Probabilistic Layer
Multi-layered Discriminative Restricted Boltzmann Machine with Untrained Probabilistic Layer
Yuri Kanno
Muneki Yasuda
55
1
0
27 Oct 2022
Learning Deep Robotic Skills on Riemannian manifolds
Learning Deep Robotic Skills on Riemannian manifolds
Weitao Wang
Matteo Saveriano
Fares J. Abu-Dakka
58
10
0
27 Oct 2022
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text
  Classification
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text Classification
Ziwen Liu
J. Grau-Bové
Scott Orr
76
1
0
27 Oct 2022
On the biological plausibility of orthogonal initialisation for solving
  gradient instability in deep neural networks
On the biological plausibility of orthogonal initialisation for solving gradient instability in deep neural networks
Nikolay Manchev
Michael W. Spratling
ODL
23
1
0
27 Oct 2022
Global-to-local Expression-aware Embeddings for Facial Action Unit
  Detection
Global-to-local Expression-aware Embeddings for Facial Action Unit Detection
Rudong An
Wei Zhang
Hao Zeng
Wei Chen
Zhiwei Deng
Yu-qiong Ding
CVBMViT
50
0
0
27 Oct 2022
A Variational Inequality Model for Learning Neural Networks
A Variational Inequality Model for Learning Neural Networks
P. Combettes
J. Pesquet
A. Repetti
51
2
0
26 Oct 2022
RGB-T Semantic Segmentation with Location, Activation, and Sharpening
RGB-T Semantic Segmentation with Location, Activation, and Sharpening
Gongyang Li
Yike Wang
Zhi Liu
Xinpeng Zhang
Dan Zeng
61
106
0
26 Oct 2022
SimpleDG: Simple Domain Generalization Baseline without Bells and
  Whistles
SimpleDG: Simple Domain Generalization Baseline without Bells and Whistles
Zhi Lv
Bo Lin
Siyuan Liang
Lihua Wang
Mochen Yu
Yao Tang
Jiajun Liang
58
0
0
26 Oct 2022
Gradient-based Weight Density Balancing for Robust Dynamic Sparse
  Training
Gradient-based Weight Density Balancing for Robust Dynamic Sparse Training
Mathias Parger
Alexander Ertl
Paul Eibensteiner
J. H. Mueller
Martin Winter
M. Steinberger
66
0
0
25 Oct 2022
MetaFormer Baselines for Vision
MetaFormer Baselines for Vision
Weihao Yu
Chenyang Si
Pan Zhou
Mi Luo
Yichen Zhou
Jiashi Feng
Shuicheng Yan
Xinchao Wang
MoE
99
171
0
24 Oct 2022
MARS: Meta-Learning as Score Matching in the Function Space
MARS: Meta-Learning as Score Matching in the Function Space
Krunoslav Lehman Pavasovic
Jonas Rothfuss
Andreas Krause
BDL
100
5
0
24 Oct 2022
SphNet: A Spherical Network for Semantic Pointcloud Segmentation
SphNet: A Spherical Network for Semantic Pointcloud Segmentation
Lukas Bernreiter
Lionel Ott
Roland Siegwart
Cesar Cadena
3DPC
59
1
0
24 Oct 2022
Stochastic Adaptive Activation Function
Stochastic Adaptive Activation Function
Kyungsu Lee
Jaeseung Yang
Haeyun Lee
J. Y. Hwang
52
3
0
21 Oct 2022
Transferring learned patterns from ground-based field imagery to predict
  UAV-based imagery for crop and weed semantic segmentation in precision crop
  farming
Transferring learned patterns from ground-based field imagery to predict UAV-based imagery for crop and weed semantic segmentation in precision crop farming
Junfeng Gao
Wenzhi Liao
D. Nuyttens
P. Lootens
Erik Alexandersson
J. Pieters
73
4
0
20 Oct 2022
Hypernetworks in Meta-Reinforcement Learning
Hypernetworks in Meta-Reinforcement Learning
Jacob Beck
Matthew Jackson
Risto Vuorio
Shimon Whiteson
OffRL
84
30
0
20 Oct 2022
Towards Better Guided Attention and Human Knowledge Insertion in Deep
  Convolutional Neural Networks
Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks
Ankit Gupta
I. Sintorn
HAI
105
1
0
20 Oct 2022
Differentiable Self-Adaptive Learning Rate
Differentiable Self-Adaptive Learning Rate
Bozhou Chen
Hongzhi Wang
Chenmin Ba
ODL
33
4
0
19 Oct 2022
SignReLU neural network and its approximation ability
SignReLU neural network and its approximation ability
Jianfei Li
Han Feng
Ding-Xuan Zhou
85
4
0
19 Oct 2022
No Pairs Left Behind: Improving Metric Learning with Regularized Triplet
  Objective
No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective
A. Heydari
N. Rezaei
Daniel J. McDuff
Javier L. Prieto
64
0
0
18 Oct 2022
Extensible Proxy for Efficient NAS
Extensible Proxy for Efficient NAS
Yuhong Li
Jiajie Li
Cong Han
P. Li
Jinjun Xiong
De-huai Chen
62
1
0
17 Oct 2022
Nish: A Novel Negative Stimulated Hybrid Activation Function
Nish: A Novel Negative Stimulated Hybrid Activation Function
Yildiray Anagün
Ş. Işık
68
2
0
17 Oct 2022
Meta-Learning via Classifier(-free) Diffusion Guidance
Meta-Learning via Classifier(-free) Diffusion Guidance
Elvis Nava
Seijin Kobayashi
Yifei Yin
Robert K. Katzschmann
Benjamin Grewe
VLM
73
6
0
17 Oct 2022
Modular machine learning-based elastoplasticity: generalization in the
  context of limited data
Modular machine learning-based elastoplasticity: generalization in the context of limited data
J. Fuhg
Craig M. Hamel
K. Johnson
Reese E. Jones
N. Bouklas
80
50
0
15 Oct 2022
Panchromatic and Multispectral Image Fusion via Alternating Reverse
  Filtering Network
Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network
Keyu Yan
Man Zhou
Jie Huang
Fengmei Zhao
Chengjun Xie
Chongyi Li
Danfeng Hong
89
17
0
15 Oct 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
Ajay Jaiswal
Peihao Wang
Tianlong Chen
Justin F. Rousseau
Ying Ding
Zhangyang Wang
77
10
0
14 Oct 2022
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised
  Learning
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning
J. Dominic
Nandita Bhaskhar
Arjun D Desai
Andrew M Schmidt
E. Rubin
...
G. Gold
B. Hargreaves
L. Lenchik
R. Boutin
Akshay S. Chaudhari
64
0
0
14 Oct 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
Jingkang Yang
Pengyun Wang
Dejian Zou
Zitang Zhou
Kun Ding
...
Kaiyang Zhou
Wayne Zhang
Dan Hendrycks
Yixuan Li
Ziwei Liu
OODD
93
245
0
13 Oct 2022
How to Train Vision Transformer on Small-scale Datasets?
How to Train Vision Transformer on Small-scale Datasets?
Hanan Gani
Muzammal Naseer
Mohammad Yaqub
ViT
70
51
0
13 Oct 2022
NoMorelization: Building Normalizer-Free Models from a Sample's
  Perspective
NoMorelization: Building Normalizer-Free Models from a Sample's Perspective
Chang-Shu Liu
Yuwen Yang
Yue Ding
Hongtao Lu
87
2
0
13 Oct 2022
Parameter-Efficient Masking Networks
Parameter-Efficient Masking Networks
Yue Bai
Huan Wang
Xu Ma
Yitian Zhang
Zhiqiang Tao
Yun Fu
67
10
0
13 Oct 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Brian Bartoldson
B. Kailkhura
Davis W. Blalock
109
51
0
13 Oct 2022
GULP: a prediction-based metric between representations
GULP: a prediction-based metric between representations
Enric Boix Adserà
Hannah Lawrence
George Stepaniants
Philippe Rigollet
85
11
0
12 Oct 2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
Yi Zeng
Minzhou Pan
Himanshu Jahagirdar
Ming Jin
Lingjuan Lyu
R. Jia
AAML
85
21
0
12 Oct 2022
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper
  Directly-Trained Spiking Neural Networks
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks
Lang Feng
Qianhui Liu
Huajin Tang
De Ma
Gang Pan
71
45
0
12 Oct 2022
AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs
AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs
S. Dubey
S. Singh
B. B. Chaudhuri
ODL
60
8
0
12 Oct 2022
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in
  Transformers
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
Zong-xiao Li
Chong You
Srinadh Bhojanapalli
Daliang Li
A. S. Rawat
...
Kenneth Q Ye
Felix Chern
Felix X. Yu
Ruiqi Guo
Surinder Kumar
MoE
104
97
0
12 Oct 2022
Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics
Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics
S. Rizvi
Akash Awasthi
Maria J. Peláez
Zhihui Wang
V. Cristini
Hien Nguyen
P. Dogra
119
1
0
12 Oct 2022
A multi-category inverse design neural network and its application to
  diblock copolymers
A multi-category inverse design neural network and its application to diblock copolymers
Dan Wei
Tiejun Zhou
Yuanfei Huang
Kai Jiang
27
3
0
12 Oct 2022
Towards Theoretically Inspired Neural Initialization Optimization
Towards Theoretically Inspired Neural Initialization Optimization
Yibo Yang
Hong Wang
Haobo Yuan
Zhouchen Lin
73
11
0
12 Oct 2022
Auto-Encoding Goodness of Fit
Auto-Encoding Goodness of Fit
A. Palmer
Zhiyi Chi
Derek Aguiar
J. Bi
119
1
0
12 Oct 2022
Effectiveness of the Recent Advances in Capsule Networks
Effectiveness of the Recent Advances in Capsule Networks
Nidhin Harilal
Rohan Patil
38
0
0
11 Oct 2022
Component-Wise Natural Gradient Descent -- An Efficient Neural Network
  Optimization
Component-Wise Natural Gradient Descent -- An Efficient Neural Network Optimization
Tran van Sang
Mhd Irvan
R. Yamaguchi
Toshiyuki Nakata
66
1
0
11 Oct 2022
On Scrambling Phenomena for Randomly Initialized Recurrent Networks
On Scrambling Phenomena for Randomly Initialized Recurrent Networks
Vaggos Chatziafratis
Ioannis Panageas
Clayton Sanford
S. Stavroulakis
69
2
0
11 Oct 2022
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream
  Classification
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification
Kleanthis Malialis
M. Roveri
Cesare Alippi
C. Panayiotou
Marios M. Polycarpou
AI4TS
61
9
0
10 Oct 2022
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