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Identity Mappings in Deep Residual Networks
v1v2v3 (latest)

Identity Mappings in Deep Residual Networks

16 March 2016
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ArXiv (abs)PDFHTMLGithub (917★)

Papers citing "Identity Mappings in Deep Residual Networks"

50 / 3,571 papers shown
Title
Multimodal Metadata Assignment for Cultural Heritage Artifacts
Multimodal Metadata Assignment for Cultural Heritage Artifacts
Luis Rei
Dunja Mladenić
M. Dorozynski
Franz Rottensteiner
Thomas Schleider
Raphael Troncy
J. Lozano
Mar Gaitán Salvatella
78
6
0
01 Jun 2024
Cyclic image generation using chaotic dynamics
Cyclic image generation using chaotic dynamics
Takaya Tanaka
Yutaka Yamaguti
62
0
0
31 May 2024
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning
  Weight Changes and Backdoor Activeness
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness
Weilin Lin
Li Liu
Shaokui Wei
Jianze Li
Hui Xiong
AAML
97
2
0
30 May 2024
Learning Discriminative Dynamics with Label Corruption for Noisy Label
  Detection
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
Suyeon Kim
Dongha Lee
SeongKu Kang
Sukang Chae
Sanghwan Jang
Hwanjo Yu
105
2
0
30 May 2024
Mitigating annotation shift in cancer classification using single image
  generative models
Mitigating annotation shift in cancer classification using single image generative models
Marta Buetas Arcas
Richard Osuala
Karim Lekadir
Oliver Díaz
68
0
0
30 May 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided
  by a Function Prior
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
Shuyu Cheng
Yibo Miao
Yinpeng Dong
Xiao Yang
Xiao-Shan Gao
Jun Zhu
AAML
99
5
0
29 May 2024
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the
  Wild
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
Weining Ren
Zihan Zhu
Boyang Sun
Jiaqi Chen
Marc Pollefeys
Songyou Peng
132
35
0
29 May 2024
Time Series Representation Models
Time Series Representation Models
Robert Leppich
Vanessa Borst
Veronika Lesch
Samuel Kounev
AI4TS
34
0
0
28 May 2024
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks
Zhenxing Niu
Yuyao Sun
Qiguang Miao
Rong Jin
Gang Hua
AAML
70
7
0
28 May 2024
Benchmarking General-Purpose In-Context Learning
Benchmarking General-Purpose In-Context Learning
Fan Wang
Chuan Lin
Yang Cao
Yu Kang
126
1
0
27 May 2024
Jump-teaching: Ultra Efficient and Robust Learning with Noisy Label
Jump-teaching: Ultra Efficient and Robust Learning with Noisy Label
Kangye Ji
Fei Cheng
Zeqing Wang
Bohu Huang
NoLa
78
0
0
27 May 2024
Efficient Visual Fault Detection for Freight Train via Neural
  Architecture Search with Data Volume Robustness
Efficient Visual Fault Detection for Freight Train via Neural Architecture Search with Data Volume Robustness
Yang Zhang
Mingying Li
Huilin Pan
Moyun Liu
Yang Zhou
54
0
0
27 May 2024
OSLO: One-Shot Label-Only Membership Inference Attacks
OSLO: One-Shot Label-Only Membership Inference Attacks
Yuefeng Peng
Jaechul Roh
Subhransu Maji
Amir Houmansadr
101
2
0
27 May 2024
High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$
  Training Memory and $O(1)$ Inference Cost
High-Performance Temporal Reversible Spiking Neural Networks with O(L)O(L)O(L) Training Memory and O(1)O(1)O(1) Inference Cost
Jiakui Hu
Man Yao
Xuerui Qiu
Yuhong Chou
Yuxuan Cai
Ning Qiao
Yonghong Tian
Boxing Xu
Guoqi Li
AI4CE
68
13
0
26 May 2024
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the
  Pseudo-Robust Shortcut Dependency
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency
Runqi Lin
Chaojian Yu
Bo Han
Hang Su
Tongliang Liu
AAML
128
4
0
25 May 2024
Breaking the False Sense of Security in Backdoor Defense through
  Re-Activation Attack
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack
Mingli Zhu
Siyuan Liang
Baoyuan Wu
AAML
122
18
0
25 May 2024
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor
Shaokui Wei
Hongyuan Zha
Baoyuan Wu
AAML
99
3
0
25 May 2024
MoEUT: Mixture-of-Experts Universal Transformers
MoEUT: Mixture-of-Experts Universal Transformers
Róbert Csordás
Kazuki Irie
Jürgen Schmidhuber
Christopher Potts
Christopher D. Manning
MoE
83
11
0
25 May 2024
Pre-Trained Vision-Language Models as Partial Annotators
Pre-Trained Vision-Language Models as Partial Annotators
Qian-Wei Wang
Yuqiu Xie
Letian Zhang
Zimo Liu
Shu-Tao Xia
VLM
89
3
0
23 May 2024
Mitigating Quantization Errors Due to Activation Spikes in GLU-Based
  LLMs
Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs
Jaewoo Yang
Hayun Kim
Younghoon Kim
82
15
0
23 May 2024
Adversarial Training of Two-Layer Polynomial and ReLU Activation
  Networks via Convex Optimization
Adversarial Training of Two-Layer Polynomial and ReLU Activation Networks via Convex Optimization
Daniel Kuelbs
Sanjay Lall
Mert Pilanci
AAML
49
1
0
22 May 2024
Animal Behavior Analysis Methods Using Deep Learning: A Survey
Animal Behavior Analysis Methods Using Deep Learning: A Survey
Edoardo Fazzari
Donato Romano
Fabrizio Falchi
Cesare Stefanini
71
6
0
22 May 2024
A label-free and data-free training strategy for vasculature
  segmentation in serial sectioning OCT data
A label-free and data-free training strategy for vasculature segmentation in serial sectioning OCT data
Etienne Chollet
Yael Balbastre
C. Magnain
Bruce Fischl
Hui Wang
67
2
0
22 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Cornelius Emde
Francesco Pinto
Thomas Lukasiewicz
Philip Torr
Adel Bibi
AAML
122
1
0
22 May 2024
Explainable offline automatic signature verifier to support forensic
  handwriting examiners
Explainable offline automatic signature verifier to support forensic handwriting examiners
Moisés Díaz
M. A. Ferrer-Ballester
G. Vessio
82
4
0
21 May 2024
EmInspector: Combating Backdoor Attacks in Federated Self-Supervised
  Learning Through Embedding Inspection
EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection
Yuwen Qian
Shuchi Wu
Kang Wei
Ming Ding
Di Xiao
Tao Xiang
Chuan Ma
Song Guo
FedMLAAML
91
0
0
21 May 2024
IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling
  Consistency
IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency
Linshan Hou
Ruili Feng
Zhongyun Hua
Wei Luo
Leo Yu Zhang
Yiming Li
AAML
87
23
0
16 May 2024
Synergistic Integration of Coordinate Network and Tensorial Feature for
  Improving Neural Radiance Fields from Sparse Inputs
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
Mingyu Kim
Jun-Seong Kim
Se-Young Yun
Jin-Hwa Kim
65
0
0
13 May 2024
CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks
CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks
Nick Nikzad
Yongsheng Gao
Jun Zhou
59
1
0
09 May 2024
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label
  Learning
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning
Rui Zhao
Bin Shi
Jianfei Ruan
Tianze Pan
Bo Dong
NoLa
67
6
0
08 May 2024
Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint
  Energy
Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy
Yihan Mei
Xinyu Wang
De-Fu Zhang
Xiaoling Wang
OODD
69
3
0
08 May 2024
TBNet: A Neural Architectural Defense Framework Facilitating DNN Model
  Protection in Trusted Execution Environments
TBNet: A Neural Architectural Defense Framework Facilitating DNN Model Protection in Trusted Execution Environments
Ziyu Liu
Tong Zhou
Yukui Luo
Xiaolin Xu
62
2
0
07 May 2024
Your Network May Need to Be Rewritten: Network Adversarial Based on
  High-Dimensional Function Graph Decomposition
Your Network May Need to Be Rewritten: Network Adversarial Based on High-Dimensional Function Graph Decomposition
Xiaoyan Su
Yinghao Zhu
Run Li
AAML
94
0
0
04 May 2024
UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
Shuai Yuan
Lei Luo
Zhuo Hui
Can Pu
Xiaoyu Xiang
Rakesh Ranjan
D. Demandolx
113
4
0
04 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
Progressive Feedforward Collapse of ResNet Training
Progressive Feedforward Collapse of ResNet Training
Sicong Wang
Kuo Gai
Shihua Zhang
AI4CE
76
7
0
02 May 2024
DmADs-Net: Dense multiscale attention and depth-supervised network for
  medical image segmentation
DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation
Zhaojin Fu
Zheng Chen
Jinjiang Li
Lu Ren
MedIm
47
1
0
01 May 2024
Automatic Cardiac Pathology Recognition in Echocardiography Images Using
  Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small
  Datasets
Automatic Cardiac Pathology Recognition in Echocardiography Images Using Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small Datasets
Andrés Bell-Navas
N. Groun
M. Villalba-Orero
Enrique Lara Pezzi
J. Garicano-Mena
S. L. Clainche
ViT
39
5
0
30 Apr 2024
Enhancing Deep Learning Model Explainability in Brain Tumor Datasets
  using Post-Heuristic Approaches
Enhancing Deep Learning Model Explainability in Brain Tumor Datasets using Post-Heuristic Approaches
Konstantinos Pasvantis
Eftychios E. Protopapadakis
AAML
54
4
0
30 Apr 2024
Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors
Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors
Abbas Khan
Muhammad Asad
Martin Benning
C. Roney
Gregory Slabaugh
67
0
0
25 Apr 2024
Efficient Higher-order Convolution for Small Kernels in Deep Learning
Efficient Higher-order Convolution for Small Kernels in Deep Learning
Zuocheng Wen
Lingzhong Guo
36
0
0
25 Apr 2024
Perception and Localization of Macular Degeneration Applying
  Convolutional Neural Network, ResNet and Grad-CAM
Perception and Localization of Macular Degeneration Applying Convolutional Neural Network, ResNet and Grad-CAM
Tahmim Hossain
Sagor Chandro Bakchy
MedIm
18
0
0
24 Apr 2024
CKGConv: General Graph Convolution with Continuous Kernels
CKGConv: General Graph Convolution with Continuous Kernels
Liheng Ma
Soumyasundar Pal
Yitian Zhang
Jiaming Zhou
Yingxue Zhang
Mark Coates
94
5
0
21 Apr 2024
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron
  Activation Analysis
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis
Abhilekha Dalal
R. Rayan
Adrita Barua
Eugene Y. Vasserman
Md Kamruzzaman Sarker
Pascal Hitzler
95
4
0
21 Apr 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks
GRANOLA: Adaptive Normalization for Graph Neural Networks
Moshe Eliasof
Beatrice Bevilacqua
Carola-Bibiane Schönlieb
Haggai Maron
112
5
0
20 Apr 2024
Towards Robust Ferrous Scrap Material Classification with Deep Learning
  and Conformal Prediction
Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction
Paulo Henrique dos Santos
Valéria de Carvalho Santos
Eduardo José da Silva Luz
40
0
0
19 Apr 2024
Robust Noisy Label Learning via Two-Stream Sample Distillation
Robust Noisy Label Learning via Two-Stream Sample Distillation
Sihan Bai
Sanpin Zhou
Zheng Qin
Le Wang
Nanning Zheng
NoLa
60
0
0
16 Apr 2024
Structured Model Pruning for Efficient Inference in Computational
  Pathology
Structured Model Pruning for Efficient Inference in Computational Pathology
Mohammed Adnan
Qinle Ba
Nazim Shaikh
Shivam Kalra
Satarupa Mukherjee
A. Lorsakul
MedIm
79
2
0
12 Apr 2024
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples
  Regularization
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization
Runqi Lin
Chaojian Yu
Tongliang Liu
AAML
111
12
0
11 Apr 2024
Improving Shift Invariance in Convolutional Neural Networks with
  Translation Invariant Polyphase Sampling
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling
Sourajit Saha
Tejas Gokhale
69
2
0
11 Apr 2024
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