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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 / 5,468 papers shown
Title
GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as A
  Plug-and-Play Transductive Model for Medical Image Analysis
GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis
Yizhe Zhang
Da Chen
MedImLM&MA
73
4
0
17 Feb 2023
Theory and Implementation of Complex-Valued Neural Networks
Theory and Implementation of Complex-Valued Neural Networks
J. A. Barrachina
Chengfang Ren
G. Vieillard
C. Morisseau
J. Ovarlez
62
11
0
16 Feb 2023
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named
  Entity Recognition
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition
Chengcheng Han
Renyu Zhu
Jun Kuang
Feng-Xiang Chen
Xiang Li
Ming Gao
Xuezhi Cao
Wei Wu
62
6
0
14 Feb 2023
Detection and classification of vocal productions in large scale audio
  recordings
Detection and classification of vocal productions in large scale audio recordings
Guillem Bonafos
Pierre Pudlo
Jean-Marc Freyermuth
T. Legou
J. Fagot
Samuel Tronccon
Arnaud Rey
AI4TS
51
1
0
14 Feb 2023
UniAdapter: Unified Parameter-Efficient Transfer Learning for
  Cross-modal Modeling
UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
Haoyu Lu
Yuqi Huo
Guoxing Yang
Zhiwu Lu
Wei Zhan
Masayoshi Tomizuka
Mingyu Ding
92
35
0
13 Feb 2023
Geometric Clifford Algebra Networks
Geometric Clifford Algebra Networks
David Ruhe
Jayesh K. Gupta
Steven De Keninck
Max Welling
Johannes Brandstetter
AI4CE
139
38
0
13 Feb 2023
Stitchable Neural Networks
Stitchable Neural Networks
Zizheng Pan
Jianfei Cai
Bohan Zhuang
102
25
0
13 Feb 2023
Imitation from Observation With Bootstrapped Contrastive Learning
Imitation from Observation With Bootstrapped Contrastive Learning
M. Sonwa
Johanna Hansen
Eugene Belilovsky
OffRL
55
0
0
13 Feb 2023
A Study on ReLU and Softmax in Transformer
A Study on ReLU and Softmax in Transformer
Kai Shen
Junliang Guo
Xuejiao Tan
Siliang Tang
Rui Wang
Jiang Bian
104
59
0
13 Feb 2023
How to Use Dropout Correctly on Residual Networks with Batch
  Normalization
How to Use Dropout Correctly on Residual Networks with Batch Normalization
Bum Jun Kim
Hyeyeon Choi
Hyeonah Jang
Donggeon Lee
Sang Woo Kim
118
8
0
13 Feb 2023
Koopman-based generalization bound: New aspect for full-rank weights
Koopman-based generalization bound: New aspect for full-rank weights
Yuka Hashimoto
Sho Sonoda
Isao Ishikawa
Atsushi Nitanda
Taiji Suzuki
54
3
0
12 Feb 2023
Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life
Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life
Tim Whitaker
L. D. Whitley
CVBM
39
2
0
11 Feb 2023
Sketch Less Face Image Retrieval: A New Challenge
Sketch Less Face Image Retrieval: A New Challenge
Dawei Dai
Yutang Li
Liang Wang
Shiyu Fu
Shuyin Xia
Guo-Zhen Wang
3DHCVBM
68
7
0
11 Feb 2023
AV-data2vec: Self-supervised Learning of Audio-Visual Speech
  Representations with Contextualized Target Representations
AV-data2vec: Self-supervised Learning of Audio-Visual Speech Representations with Contextualized Target Representations
Jiachen Lian
Alexei Baevski
Wei-Ning Hsu
Michael Auli
SSL
150
34
0
10 Feb 2023
Hypernetworks build Implicit Neural Representations of Sounds
Hypernetworks build Implicit Neural Representations of Sounds
Filip Szatkowski
Karol J. Piczak
Przemtslaw Spurek
Jacek Tabor
Tomasz Trzciñski
118
11
0
09 Feb 2023
Reversible Vision Transformers
Reversible Vision Transformers
K. Mangalam
Haoqi Fan
Yanghao Li
Chaoxiong Wu
Bo Xiong
Christoph Feichtenhofer
Jitendra Malik
ViT
74
47
0
09 Feb 2023
An End-to-End Framework for Marketing Effectiveness Optimization under
  Budget Constraint
An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint
Ziang Yan
Shusen Wang
Guorui Zhou
Jingjian Lin
Peng Jiang
OffRL
42
8
0
09 Feb 2023
Unsupervised Learning of Initialization in Deep Neural Networks via
  Maximum Mean Discrepancy
Unsupervised Learning of Initialization in Deep Neural Networks via Maximum Mean Discrepancy
Cheolhyoung Lee
Kyunghyun Cho
59
0
0
08 Feb 2023
SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular
  Frontal View Images
SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
Nikhil Gosala
Kürsat Petek
Paulo L. J. Drews-Jr
Wolfram Burgard
Abhinav Valada
MDE
62
36
0
08 Feb 2023
MMA-RNN: A Multi-level Multi-task Attention-based Recurrent Neural
  Network for Discrimination and Localization of Atrial Fibrillation
MMA-RNN: A Multi-level Multi-task Attention-based Recurrent Neural Network for Discrimination and Localization of Atrial Fibrillation
Yifan Sun
Jingyan Shen
Yunfan Jiang
Zhaohui Huang
Minsheng Hao
Xuegong Zhang
27
6
0
07 Feb 2023
Utility-based Perturbed Gradient Descent: An Optimizer for Continual
  Learning
Utility-based Perturbed Gradient Descent: An Optimizer for Continual Learning
Mohamed Elsayed
A. R. Mahmood
CLL
89
6
0
07 Feb 2023
On the Ideal Number of Groups for Isometric Gradient Propagation
On the Ideal Number of Groups for Isometric Gradient Propagation
Bum Jun Kim
Hyeyeon Choi
Hyeonah Jang
Sang Woo Kim
61
1
0
07 Feb 2023
Investigating Pulse-Echo Sound Speed Estimation in Breast Ultrasound
  with Deep Learning
Investigating Pulse-Echo Sound Speed Estimation in Breast Ultrasound with Deep Learning
Walter Simson
Magdalini Paschali
Vasiliki Sideri-Lampretsa
Nassir Navab
J. Dahl
OOD
56
17
0
06 Feb 2023
Learning Complementary Policies for Human-AI Teams
Learning Complementary Policies for Human-AI Teams
Ruijiang Gao
M. Saar-Tsechansky
Maria De-Arteaga
Ligong Han
Wei-Ju Sun
Min Kyung Lee
Matthew Lease
192
9
0
06 Feb 2023
Meta-Learning Siamese Network for Few-Shot Text Classification
Meta-Learning Siamese Network for Few-Shot Text Classification
Chengcheng Han
Yuh-Shyang Wang
Yingnan Fu
Xiang Li
Minghui Qiu
Ming Gao
Aoying Zhou
VLM
72
5
0
05 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor
  Attacks
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
Zeyu Qin
Liuyi Yao
Daoyuan Chen
Yaliang Li
Bolin Ding
Minhao Cheng
FedML
145
27
0
03 Feb 2023
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of
  States Prediction
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction
Junwen Bai
Yuanqi Du
Yingheng Wang
Shufeng Kong
J. Gregoire
Carla P. Gomes
49
8
0
03 Feb 2023
Hypothesis Testing and Machine Learning: Interpreting Variable Effects
  in Deep Artificial Neural Networks using Cohen's f2
Hypothesis Testing and Machine Learning: Interpreting Variable Effects in Deep Artificial Neural Networks using Cohen's f2
Wolfgang Messner
CML
49
12
0
02 Feb 2023
Resilient Binary Neural Network
Resilient Binary Neural Network
Sheng Xu
Yanjing Li
Teli Ma
Mingbao Lin
Hao Dong
Baochang Zhang
Penglei Gao
Jinhu Lv
MQOOD
103
17
0
02 Feb 2023
Effectiveness of Moving Target Defenses for Adversarial Attacks in
  ML-based Malware Detection
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection
Aqib Rashid
Jose Such
AAML
60
2
0
01 Feb 2023
Simplicity Bias in 1-Hidden Layer Neural Networks
Simplicity Bias in 1-Hidden Layer Neural Networks
Depen Morwani
Jatin Batra
Prateek Jain
Praneeth Netrapalli
103
21
0
01 Feb 2023
Revisiting Bellman Errors for Offline Model Selection
Revisiting Bellman Errors for Offline Model Selection
Joshua P. Zitovsky
Daniel de Marchi
Rishabh Agarwal
Michael R. Kosorok University of North Carolina at Chapel Hill
OffRL
82
5
0
31 Jan 2023
Scaling laws for single-agent reinforcement learning
Scaling laws for single-agent reinforcement learning
Jacob Hilton
Jie Tang
John Schulman
122
22
0
31 Jan 2023
Recurrent Structure Attention Guidance for Depth Super-Resolution
Recurrent Structure Attention Guidance for Depth Super-Resolution
Jiayi Yuan
Qianliang Wu
Xiang Li
J. Qian
Jun Yu Li
Jian Yang
SupRMDE
76
17
0
31 Jan 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
L. Yi
Gezheng Xu
Pengcheng Xu
Jiaqi Li
Ruizhi Pu
Charles Ling
A. McLeod
Boyu Wang
102
41
0
31 Jan 2023
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object
  Classification
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification
Ali Borji
VLM
103
0
0
29 Jan 2023
On the Lipschitz Constant of Deep Networks and Double Descent
On the Lipschitz Constant of Deep Networks and Double Descent
Matteo Gamba
Hossein Azizpour
Mårten Björkman
98
7
0
28 Jan 2023
Continual Graph Learning: A Survey
Continual Graph Learning: A Survey
Qiao Yuan
S. Guan
Pin Ni
Tianlun Luo
Ka Lok Man
Prudence W. H. Wong
Victor I. Chang
CLL
80
14
0
28 Jan 2023
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated
  Learning
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning
Peng Zhang
Yingbo Zhou
Ming Hu
Xin Fu
Xian Wei
Mingsong Chen
FedML
54
1
0
28 Jan 2023
Cross-domain recommendation via user interest alignment
Cross-domain recommendation via user interest alignment
Chuang Zhao
Hongke Zhao
Ming He
Jian Zhang
Jianping Fan
81
75
0
26 Jan 2023
A Simple Algorithm For Scaling Up Kernel Methods
A Simple Algorithm For Scaling Up Kernel Methods
Tengyu Xu
Bryan Kelly
Semyon Malamud
69
0
0
26 Jan 2023
The Power of Linear Combinations: Learning with Random Convolutions
The Power of Linear Combinations: Learning with Random Convolutions
Paul Gavrikov
J. Keuper
82
2
0
26 Jan 2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
Guihong Li
Yuedong Yang
Kartikeya Bhardwaj
R. Marculescu
121
63
0
26 Jan 2023
Inspecting class hierarchies in classification-based metric learning
  models
Inspecting class hierarchies in classification-based metric learning models
Hyeongji Kim
P. Parviainen
Terje Berge
K. Malde
52
0
0
26 Jan 2023
Modelling Long Range Dependencies in $N$D: From Task-Specific to a
  General Purpose CNN
Modelling Long Range Dependencies in NNND: From Task-Specific to a General Purpose CNN
David M. Knigge
David W. Romero
Albert Gu
E. Gavves
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
Jan-Jakob Sonke
3DV
91
22
0
25 Jan 2023
Flow-guided Semi-supervised Video Object Segmentation
Flow-guided Semi-supervised Video Object Segmentation
Yushan Zhang
Andreas Robinson
M. Magnusson
Michael Felsberg
VOS
69
1
0
25 Jan 2023
Sherlock in OSS: A Novel Approach of Content-Based Searching in Object
  Storage System
Sherlock in OSS: A Novel Approach of Content-Based Searching in Object Storage System
Jannatun Noor
Rizwanul Haque Ratul
Mir Rownak Ali Uday
J. Mondal
Md. Sadiqul Islam Sakif
Al Islam
62
5
0
24 Jan 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Maolin Wang
Yu Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
A. Cichocki
Andrzej Cichocki
208
22
0
22 Jan 2023
Raw or Cooked? Object Detection on RAW Images
Raw or Cooked? Object Detection on RAW Images
William Ljungbergh
Joakim Johnander
Christoffer Petersson
Michael Felsberg
62
18
0
21 Jan 2023
ApproxED: Approximate exploitability descent via learned best responses
ApproxED: Approximate exploitability descent via learned best responses
Carlos Martin
Tuomas Sandholm
90
0
0
20 Jan 2023
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