Identity Mappings in Deep Residual Networks

16 March 2016

Papers citing "Identity Mappings in Deep Residual Networks"

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Title
LOFT: Finding Lottery Tickets through Filter-wise Training Qihan Wang Chen Dun Fangshuo Liao C. Jermaine Anastasios Kyrillidis 27 3 0 28 Oct 2022
LegoNet: A Fast and Exact Unlearning Architecture Sihao Yu Fei Sun J. Guo Ruqing Zhang Xueqi Cheng MU 42 8 0 28 Oct 2022
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis Taiki Miyagawa 50 9 0 28 Oct 2022
Deep Learning Object Detection Approaches to Signal Identification Luke Wood K. Anderson Peter Gerstoft Richard Bell Raghab Subbaraman Dinesh Bharadia 21 2 0 27 Oct 2022
Respecting Transfer Gap in Knowledge Distillation Yulei Niu Long Chen Chan Zhou Hanwang Zhang 26 23 0 23 Oct 2022
Stochastic Adaptive Activation Function Kyungsu Lee Jaeseung Yang Haeyun Lee J. Y. Hwang 30 3 0 21 Oct 2022
Similarity of Neural Architectures using Adversarial Attack Transferability Jaehui Hwang Dongyoon Han Byeongho Heo Song Park Sanghyuk Chun Jong-Seok Lee AAML 37 1 0 20 Oct 2022
Pruning by Active Attention Manipulation Z. Babaiee Lucas Liebenwein Ramin Hasani Daniela Rus Radu Grosu 24 0 0 20 Oct 2022
Scaling Adversarial Training to Large Perturbation Bounds Sravanti Addepalli Samyak Jain Gaurang Sriramanan R. Venkatesh Babu AAML 33 22 0 18 Oct 2022
Nish: A Novel Negative Stimulated Hybrid Activation Function Yildiray Anagün Ş. Işık 27 2 0 17 Oct 2022
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers Hyeong Kyu Choi Joonmyung Choi Hyunwoo J. Kim ViT 33 35 0 14 Oct 2022
A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID Hong Yang Travis J. Desell AI4TS 21 1 0 13 Oct 2022
Component-Wise Natural Gradient Descent -- An Efficient Neural Network Optimization Tran van Sang Mhd Irvan R. Yamaguchi Toshiyuki Nakata 15 1 0 11 Oct 2022
On skip connections and normalisation layers in deep optimisation L. MacDonald Jack Valmadre Hemanth Saratchandran Simon Lucey ODL 34 1 0 10 Oct 2022
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction Wenlong Deng Lang Lang Zichen Liu B. Liu 26 0 0 09 Oct 2022
Online Training Through Time for Spiking Neural Networks Mingqing Xiao Qingyan Meng Zongpeng Zhang D.K. He Zhouchen Lin 47 61 0 09 Oct 2022
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing Peng Ye Shengji Tang Baopu Li Tao Chen Wanli Ouyang 31 13 0 09 Oct 2022
The Calibration Generalization Gap Annabelle Carrell Neil Rohit Mallinar James Lucas Preetum Nakkiran UQCV 34 18 0 05 Oct 2022
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models Chenglin Yang Siyuan Qiao Qihang Yu Xiaoding Yuan Yukun Zhu Alan Yuille Hartwig Adam Liang-Chieh Chen ViT MoE 39 60 0 04 Oct 2022
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture Brandon Victor Zhen He Aiden Nibali 30 9 0 03 Oct 2022
Feature Embedding by Template Matching as a ResNet Block Ada Gorgun Y. Z. Gürbüz A. Aydin Alatan 28 1 0 03 Oct 2022
Block-wise Training of Residual Networks via the Minimizing Movement Scheme Skander Karkar Ibrahim Ayed Emmanuel de Bézenac Patrick Gallinari 33 1 0 03 Oct 2022
Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis Jiancong Xiao Zeyu Qin Yanbo Fan Baoyuan Wu Jue Wang Zhimin Luo AAML 34 7 0 02 Oct 2022
E-Branchformer: Branchformer with Enhanced merging for speech recognition Kwangyoun Kim Felix Wu Yifan Peng Jing Pan Prashant Sridhar Kyu Jeong Han Shinji Watanabe 61 105 0 30 Sep 2022
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture Nanyang Ye Jingbiao Mei Zhicheng Fang Yuwen Zhang Ziqing Zhang Huaying Wu Xiaoyao Liang OOD 33 5 0 30 Sep 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling Jayesh K. Gupta Johannes Brandstetter AI4CE 61 120 0 30 Sep 2022
RECALL: Rehearsal-free Continual Learning for Object Classification Markus Wendelin Knauer Maximilian Denninger Rudolph Triebel VLM 43 1 0 29 Sep 2022
Cyclegan Network for Sheet Metal Welding Drawing Translation Zhiwei Song Hui Yao Dan Tian Gaohui Zhan GAN AI4CE 35 1 0 28 Sep 2022
Why neural networks find simple solutions: the many regularizers of geometric complexity Benoit Dherin Michael Munn M. Rosca David Barrett 57 31 0 27 Sep 2022
Prayatul Matrix: A Direct Comparison Approach to Evaluate Performance of Supervised Machine Learning Models Anupam Biswas AAML 16 0 0 26 Sep 2022
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning Zhengwei Fang Rui Wang Tao Huang L. Jing AAML 40 5 0 24 Sep 2022
The SpeakIn Speaker Verification System for Far-Field Speaker Verification Challenge 2022 Yu Zheng Jinghan Peng Yihao Chen Yajun Zhang Jialong Wang Min Liu Minqiang Xu 39 9 0 23 Sep 2022
Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms Huijuan Pang Zhongang Cai Lei Yang Tianwei Zhang Ziwei Liu 3DH 59 29 0 21 Sep 2022
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems Jirong Yi Q. Zhang Zhenji Chen Qiaoan Liu Weizhuo Shao SSL FedML 34 3 0 21 Sep 2022
Automated ischemic stroke lesion segmentation from 3D MRI M. R. Siddiquee Dong Yang Yufan He Daguang Xu Andriy Myronenko 23 8 0 20 Sep 2022
Deep Metric Learning with Chance Constraints Y. Z. Gürbüz Ogul Can A. Aydin Alatan 29 2 0 19 Sep 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 31 11 0 19 Sep 2022
Batch Layer Normalization, A new normalization layer for CNNs and RNN A. Ziaee Erion cCano 19 13 0 19 Sep 2022
Improving Robust Fairness via Balance Adversarial Training Chunyu Sun Chenye Xu Chengyuan Yao Siyuan Liang Yichao Wu Ding Liang XiangLong Liu Aishan Liu 23 11 0 15 Sep 2022
On the interplay of adversarial robustness and architecture components: patches, convolution and attention Francesco Croce Matthias Hein 43 6 0 14 Sep 2022
An Analysis of Collocation on GPUs for Deep Learning Training Ties Robroek Ehsan Yousefzadeh-Asl-Miandoab Pınar Tözün 22 9 0 13 Sep 2022
The Mori-Zwanzig formulation of deep learning D. Venturi Xiantao Li 25 1 0 12 Sep 2022
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes Shungo Fujii Yasunori Ishii Kazuki Kozuka Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi 47 2 0 12 Sep 2022
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications Chuyin Li Lu Li Hongliang Jiang Kaiheng Weng Yifei Geng ... Linyuan Zhou Xiaoming Xu Xiangxiang Chu Xiaoming Wei Xiaolin K. Wei ObjD 51 1,707 0 07 Sep 2022
Bag of Tricks for FGSM Adversarial Training Zichao Li Li Liu Zeyu Wang Yuyin Zhou Cihang Xie AAML 35 6 0 06 Sep 2022
A comprehensive survey on recent deep learning-based methods applied to surgical data Mansoor Ali Rafael Martinez Garcia Peña Gilberto Ochoa-Ruiz Sharib Ali 30 6 0 03 Sep 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 39 27 0 02 Sep 2022
Automatic Identification of Coal and Rock/Gangue Based on DenseNet and Gaussian Process Yu-Feng Li 35 1 0 31 Aug 2022
BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition Peng Yin Abulikemu Abuduweili Shiqi Zhao Changliu Liu Sebastian Scherer CLL 32 15 0 30 Aug 2022
MRL: Learning to Mix with Attention and Convolutions Shlok Mohta Hisahiro Suganuma Yoshiki Tanaka 28 2 0 30 Aug 2022