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Identity Mappings in Deep Residual Networks

16 March 2016

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Papers citing "Identity Mappings in Deep Residual Networks"

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Title
On the Effects of Artificial Data Modification Antonia Marcu Adam Prugel-Bennett 52 3 0 26 Oct 2021
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels Jochen Görtler AmirEmad Ghassami Dominik Moritz Kanit Wongsuphasawat Donghao Ren Rahul Nair Marc Kirchner Kayur Patel GNN HAI 90 63 0 24 Oct 2021
NAS-FCOS: Efficient Search for Object Detection Architectures Ning Wang Yang Gao Hao Chen Peng Wang Zhi Tian Chunhua Shen Yanning Zhang ObjD 127 19 0 24 Oct 2021
Parametric Variational Linear Units (PVLUs) in Deep Convolutional Networks Aarush Gupta Shikhar Ahuja VLM 8 1 0 23 Oct 2021
Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition Asish Bera Zachary Wharton Yonghuai Liu Nikolaos Bessis Ardhendu Behera 101 43 0 23 Oct 2021
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators S. Lowe Robert C. Earle Jason dÉon Thomas Trappenberg Sageev Oore 69 2 0 22 Oct 2021
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation Jingyu Zhao Yanwen Fang Guodong Li 74 24 0 22 Oct 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 85 18 0 22 Oct 2021
Explainable, automated urban interventions to improve pedestrian and vehicle safety Cristina Bustos Daniel Rhoads Albert Solé-Ribalta David Masip Alexandre Arenas Àgata Lapedriza Javier Borge-Holthoefer 62 29 0 22 Oct 2021
GCCN: Global Context Convolutional Network Ali Hamdi Flora D. Salim D. Kim 82 1 0 22 Oct 2021
Signature-Graph Networks Ali Hamdi Flora D. Salim D. Kim Xiaojun Chang 68 1 0 22 Oct 2021
FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping Gayan K. Kulatilleke Marius Portmann Ryan K. L. Ko Shekhar S. Chandra 105 9 0 21 Oct 2021
Robustness through Data Augmentation Loss Consistency Tianjian Huang Shaunak Halbe Chinnadhurai Sankar P. Amini Satwik Kottur A. Geramifard Meisam Razaviyayn Ahmad Beirami OOD 135 8 0 21 Oct 2021
Mean Nyström Embeddings for Adaptive Compressive Learning Antoine Chatalic Luigi Carratino Ernesto De Vito Lorenzo Rosasco 54 7 0 21 Oct 2021
Learning OFDM Waveforms with PAPR and ACLR Constraints Mathieu Goutay Fayccal Ait Aoudia J. Hoydis J. Gorce 64 4 0 21 Oct 2021
When in Doubt, Summon the Titans: Efficient Inference with Large Models A. S. Rawat Manzil Zaheer A. Menon Amr Ahmed Sanjiv Kumar 64 7 0 19 Oct 2021
Bilateral-ViT for Robust Fovea Localization Sifan Song K. Dang Qinji Yu Zilong Wang Frans Coenen Jionglong Su Xiaowei Ding MedIm 40 8 0 19 Oct 2021
SpecTNT: a Time-Frequency Transformer for Music Audio Weiyi Lu Ju-Chiang Wang Minz Won Keunwoo Choi Xuchen Song ViT 67 46 0 18 Oct 2021
Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization Tao Sun Huaming Ling Zuoqiang Shi Dongsheng Li Bao Wang ODL 68 13 0 18 Oct 2021
Supervised Metric Learning for Music Structure Features Ju-Chiang Wang Jordan B. L. Smith Weiyi Lu Xuchen Song 75 17 0 18 Oct 2021
Unrestricted Adversarial Attacks on ImageNet Competition YueFeng Chen Xiaofeng Mao Yuan He Hui Xue Chao Li ... Bingyang Fu Yunfei Zheng Yekui Wang Haorong Luo Zhen Yang AAML 46 10 0 17 Oct 2021
TESDA: Transform Enabled Statistical Detection of Attacks in Deep Neural Networks C. Amarnath Aishwarya H. Balwani Kwondo Ma Abhijit Chatterjee AAML 52 3 0 16 Oct 2021
Trade-offs of Local SGD at Scale: An Empirical Study Jose Javier Gonzalez Ortiz Jonathan Frankle Michael G. Rabbat Ari S. Morcos Nicolas Ballas FedML 86 18 0 15 Oct 2021
Automated Quality Control of Vacuum Insulated Glazing by Convolutional Neural Network Image Classification Henrik Riedel Sleheddine Mokdad I. Schulz C. Kocer P. Rosendahl J. Schneider M. Kraus M. Drass 54 14 0 15 Oct 2021
Reappraising Domain Generalization in Neural Networks S. Sivaprasad Akshay Goindani Vaibhav Garg Ritam Basu Saiteja Kosgi Vineet Gandhi OOD AI4CE 105 6 0 15 Oct 2021
Adversarial Purification through Representation Disentanglement Tao Bai Jun Zhao Lanqing Guo Bihan Wen AAML 41 1 0 15 Oct 2021
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images S. Desai Debasmita Ghose 75 29 0 15 Oct 2021
Non-deep Networks Ankit Goyal Alexey Bochkovskiy Jia Deng V. Koltun 166 73 0 14 Oct 2021
DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks Yixiang Wang Jiqiang Liu Xiaolin Chang Jianhua Wang Ricardo J. Rodríguez AAML 105 31 0 14 Oct 2021
High-throughput Phenotyping of Nematode Cysts Long Chen M. Daub Hans-Georg Luigs Marcus Jansen M. Strauch Dorit Merhof 35 6 0 13 Oct 2021
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies Bao Wang Hedi Xia T. Nguyen Stanley Osher AI4CE 109 10 0 13 Oct 2021
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy Lars Schmarje Johannes Brunger M. Santarossa Simon-Martin Schroder R. Kiko Reinhard Koch 133 17 0 13 Oct 2021
Parallel Deep Neural Networks Have Zero Duality Gap Yifei Wang Tolga Ergen Mert Pilanci 171 10 0 13 Oct 2021
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis Hossein Aboutalebi Maya Pavlova Hayden Gunraj M. Shafiee A. Sabri Amer Alaref Alexander Wong 69 17 0 12 Oct 2021
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo Francesco Sarno Suryansh Kumar Berk Kaya Zhiwu Huang V. Ferrari Luc Van Gool 68 8 0 11 Oct 2021
Investigating Transfer Learning Capabilities of Vision Transformers and CNNs by Fine-Tuning a Single Trainable Block Durvesh Malpure Onkar Litake Rajesh S. Ingle ViT 46 5 0 11 Oct 2021
Two-level Group Convolution Youngkyu Lee Jongho Park Chang-Ock Lee 55 9 0 11 Oct 2021
Boosting Fast Adversarial Training with Learnable Adversarial Initialization Xiaojun Jia Yong Zhang Baoyuan Wu Jue Wang Xiaochun Cao AAML 102 55 0 11 Oct 2021
Heavy Ball Neural Ordinary Differential Equations Hedi Xia Vai Suliafu H. Ji T. Nguyen Andrea L. Bertozzi Stanley J. Osher Bao Wang 101 61 0 10 Oct 2021
A Loss Curvature Perspective on Training Instability in Deep Learning Justin Gilmer Behrooz Ghorbani Ankush Garg Sneha Kudugunta Behnam Neyshabur David E. Cardoze George E. Dahl Zachary Nado Orhan Firat ODL 77 37 0 08 Oct 2021
Observations on K-image Expansion of Image-Mixing Augmentation for Classification Joonhyun Jeong Sungmin Cha Jongwon Choi Sangdoo Yun Taesup Moon Y. Yoo VLM 95 7 0 08 Oct 2021
Trident Pyramid Networks: The importance of processing at the feature pyramid level for better object detection Cédric Picron Tinne Tuytelaars 73 5 0 08 Oct 2021
Automated Feature-Specific Tree Species Identification from Natural Images using Deep Semi-Supervised Learning Dewald Homan J. D. Preez 79 12 0 08 Oct 2021
Speeding up Deep Model Training by Sharing Weights and Then Unsharing Shuo Yang Le Hou Xiaodan Song Qiang Liu Denny Zhou 150 9 0 08 Oct 2021
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting Chengyu Dong Liyuan Liu Jingbo Shang NoLa AAML 134 20 0 07 Oct 2021
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications Ziqiao Wang Yongyi Mao FedML MLT 124 26 0 07 Oct 2021
Towards Robotic Knee Arthroscopy: Multi-Scale Network for Tissue-Tool Segmentation Shahnewaz Ali R. Crawford Frederic Maire Ajay K. Pandey 128 2 0 06 Oct 2021
Noisy Feature Mixup Soon Hoe Lim N. Benjamin Erichson Francisco Utrera Winnie Xu Michael W. Mahoney AAML 108 38 0 05 Oct 2021
Anchor-free Oriented Proposal Generator for Object Detection Gong Cheng Jiabao Wang Ke Li Xingxing Xie Chunbo Lang Yanqing Yao Junwei Han ObjD 133 309 0 05 Oct 2021
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks Jee-weon Jung Hee-Soo Heo Hemlata Tak Hye-jin Shim Joon Son Chung Bong-Jin Lee Ha-Jin Yu Nicholas W. D. Evans 261 311 0 04 Oct 2021