Identity Mappings in Deep Residual Networks

16 March 2016

Papers citing "Identity Mappings in Deep Residual Networks"

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Title
Improving Fast Adversarial Training with Prior-Guided Knowledge Xiaojun Jia Yong Zhang Xingxing Wei Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 34 26 0 01 Apr 2023
Unsupervised crack detection on complex stone masonry surfaces P. Agrafiotis Anastastios Doulamis A. Georgopoulos 30 2 0 31 Mar 2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness Wei Wei Jiahuan Zhou Yingying Wu AAML 15 0 0 29 Mar 2023
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization Jianping Zhang Yizhan Huang Weibin Wu Michael R. Lyu AAML ViT 18 50 0 28 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 119 31 0 24 Mar 2023
Effective black box adversarial attack with handcrafted kernels P. Dvorácek P. Hurtík Petra Stevuliáková AAML 30 0 0 24 Mar 2023
Return of the RNN: Residual Recurrent Networks for Invertible Sentence Embeddings Jeremy Wilkerson 24 1 0 23 Mar 2023
Edge Deep Learning Model Protection via Neuron Authorization Jinyin Chen Haibin Zheng Tianming Liu Rongchang Li Yao Cheng Xuhong Zhang S. Ji FedML 29 0 0 22 Mar 2023
AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection Puning Yang Jian Liang Jie Cao Ran He 41 12 0 22 Mar 2023
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency Vithursan Thangarasa Shreyas Saxena Abhay Gupta Sean Lie 31 3 0 21 Mar 2023
Vortex Feature Positioning: Bridging Tabular IIoT Data and Image-Based Deep Learning Jong-Ik Park Sihoon Seong JunKyu Lee CheolKee Hong 48 1 0 16 Mar 2023
On the Benefits of Biophysical Synapses Julian Lemmel Radu Grosu 11 0 0 08 Mar 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 22 39 0 06 Mar 2023
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model W. Zeng DiffM 39 1 0 05 Mar 2023
Discrepancies among Pre-trained Deep Neural Networks: A New Threat to Model Zoo Reliability Diego Montes Pongpatapee Peerapatanapokin Jeff Schultz Chengjun Guo Wenxin Jiang James C. Davis 29 14 0 05 Mar 2023
Opto-UNet: Optimized UNet for Segmentation of Varicose Veins in Optical Coherence Tomography Maryam Viqar Violeta Madjarova Vipul Baghel E. Stoykova 20 5 0 28 Feb 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks Qingyan Meng Mingqing Xiao Shen Yan Yisen Wang Zhouchen Lin Zhimin Luo 29 38 0 28 Feb 2023
Less is More: Data Pruning for Faster Adversarial Training Yize Li Pu Zhao X. Lin B. Kailkhura Ryan Goldh AAML 15 9 0 23 Feb 2023
Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks Raluca Jalaboi Ole Winther A. Galimzianova FAtt 22 1 0 23 Feb 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić Edoardo Ponti MoMe OOD 32 73 0 22 Feb 2023
Gradient Adjusting Networks for Domain Inversion Erez Sheffi Michael Rotman Lior Wolf 29 0 0 22 Feb 2023
Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation Ruyu Wang Sabrina Hoppe Eduardo Monari Marco F. Huber 30 17 0 16 Feb 2023
How to Use Dropout Correctly on Residual Networks with Batch Normalization Bum Jun Kim Hyeyeon Choi Hyeonah Jang Donggeon Lee Sang Woo Kim 22 7 0 13 Feb 2023
Pruning Deep Neural Networks from a Sparsity Perspective Enmao Diao G. Wang Jiawei Zhan Yuhong Yang Jie Ding Vahid Tarokh 27 30 0 11 Feb 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration Christian Tomani Futa Waseda Yuesong Shen Daniel Cremers UQCV 37 4 0 10 Feb 2023
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation Yuhui Zhang Shihua Huang Zhengping Zhou M. Lungren Serena Yeung ViT MedIm 16 8 0 08 Feb 2023
U-Clip: On-Average Unbiased Stochastic Gradient Clipping Bryn Elesedy Marcus Hutter 19 1 0 06 Feb 2023
Adaptive Parameterization of Deep Learning Models for Federated Learning Morten From Elvebakken Alexandros Iosifidis Lukas Esterle FedML 26 4 0 06 Feb 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks Salah Ghamizi Jingfeng Zhang Maxime Cordy Mike Papadakis Masashi Sugiyama Yves Le Traon AAML 28 2 0 06 Feb 2023
An Enhanced V-cycle MgNet Model for Operator Learning in Numerical Partial Differential Equations Jianqing Zhu Juncai He Qiumei Huang 35 4 0 02 Feb 2023
The Hidden Power of Pure 16-bit Floating-Point Neural Networks Juyoung Yun Byungkon Kang Zhoulai Fu MQ 26 1 0 30 Jan 2023
Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning Lei Zhang Kaixin Bai Zhaopeng Chen Yunlei Shi Jianwei Zhang 15 4 0 28 Jan 2023
GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network Yang Sun Yifan Xie BDL CML 34 1 0 28 Jan 2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease R. Singhal Mukund Sudarshan Anish Mahishi S. Kaushik L. Ginocchio A. Tong H. Chandarana D. Sodickson Rajesh Ranganath S. Chopra 36 5 0 27 Jan 2023
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway Guangyao Chen Peixi Peng Guoqi Li Yonghong Tian 29 23 0 27 Jan 2023
Data Augmentation Alone Can Improve Adversarial Training Lin Li Michael W. Spratling 16 50 0 24 Jan 2023
Tailor: Altering Skip Connections for Resource-Efficient Inference Olivia Weng Gabriel Marcano Vladimir Loncar Alireza Khodamoradi Nojan Sheybani Andres Meza F. Koushanfar K. Denolf Javier Mauricio Duarte Ryan Kastner 46 12 0 18 Jan 2023
Efficient Activation Function Optimization through Surrogate Modeling G. Bingham Risto Miikkulainen 21 2 0 13 Jan 2023
Deep Residual Axial Networks Nazmul Shahadat Anthony Maida 3DPC 48 4 0 11 Jan 2023
Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication Nazmul Shahadat Anthony Maida 30 6 0 11 Jan 2023
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement Che Liu Sibo Cheng Weiping Ding Rossella Arcucci 42 9 0 10 Jan 2023
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning Jidong Ge YuXiang Liu Jie Gui Lanting Fang Ming Lin James T. Kwok LiGuo Huang B. Luo SSL 22 5 0 08 Jan 2023
Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset Maxime W. Lafarge V. Koelzer 32 1 0 03 Jan 2023
Class-Continuous Conditional Generative Neural Radiance Field Jiwook Kim Minhyeok Lee 30 4 0 03 Jan 2023
Spectral Bandwidth Recovery of Optical Coherence Tomography Images using Deep Learning T. Yu Da Ma Jayden Cole M. Ju M. Beg M. Sarunic 17 3 0 02 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 29 27 0 01 Jan 2023
Re-evaluating the Need for Multimodal Signals in Unsupervised Grammar Induction Boyi Li Rodolfo Corona K. Mangalam Catherine Chen Daniel Flaherty Serge Belongie Kilian Q. Weinberger Jitendra Malik Trevor Darrell Dan Klein 21 1 0 20 Dec 2022
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks Zeyang Sha Xinlei He Pascal Berrang Mathias Humbert Yang Zhang AAML 13 33 0 18 Dec 2022
Adversarial Example Defense via Perturbation Grading Strategy Shaowei Zhu Wanli Lyu Bin Li Z. Yin Bin Luo AAML 27 1 0 16 Dec 2022
Smart Journey in Istanbul: A Mobile Application in Smart Cities for Traffic Estimation by Harnessing Time Series Senem Tanberk Mustafa Can 14 0 0 13 Dec 2022