Identity Mappings in Deep Residual Networks

16 March 2016

Papers citing "Identity Mappings in Deep Residual Networks"

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Title
Why bigger is not always better: on finite and infinite neural networks Laurence Aitchison 175 51 0 17 Oct 2019
Learning Generalisable Omni-Scale Representations for Person Re-Identification Kaiyang Zhou Yongxin Yang Andrea Cavallaro Tao Xiang 30 217 0 15 Oct 2019
AI Benchmark: All About Deep Learning on Smartphones in 2019 Andrey D. Ignatov Radu Timofte Andrei Kulik Seungsoo Yang Ke Wang Felix Baum Max Wu Lirong Xu Luc Van Gool ELM 23 218 0 15 Oct 2019
Target-Oriented Deformation of Visual-Semantic Embedding Space Takashi Matsubara 26 7 0 15 Oct 2019
Characterizing Deep Learning Training Workloads on Alibaba-PAI Mengdi Wang Chen Meng Guoping Long Chuan Wu Jun Yang Wei Lin Yangqing Jia 25 54 0 14 Oct 2019
Transformers without Tears: Improving the Normalization of Self-Attention Toan Q. Nguyen Julian Salazar 50 225 0 14 Oct 2019
Stabilizing Transformers for Reinforcement Learning Emilio Parisotto H. F. Song Jack W. Rae Razvan Pascanu Çağlar Gülçehre ... Aidan Clark Seb Noury M. Botvinick N. Heess R. Hadsell OffRL 22 360 0 13 Oct 2019
On Empirical Comparisons of Optimizers for Deep Learning Dami Choi Christopher J. Shallue Zachary Nado Jaehoon Lee Chris J. Maddison George E. Dahl 36 256 0 11 Oct 2019
Cribriform pattern detection in prostate histopathological images using deep learning models Malay Singh E. Kalaw Jie Wang M. Al-Shabi C. Wong D. Giron K. Chong Maxine Tan Zeng Zeng H. Lee MedIm 9 8 0 09 Oct 2019
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks Qilong Wang Banggu Wu Peng Fei Zhu P. Li W. Zuo Q. Hu 70 3,900 0 08 Oct 2019
MLPerf Training Benchmark Arya D. McCarthy Christine Cheng Cody Coleman Greg Diamos Paulius Micikevicius ... Carole-Jean Wu Lingjie Xu Masafumi Yamazaki C. Young Matei A. Zaharia 47 307 0 02 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Xiaohua Zhai J. Puigcerver Alexander Kolesnikov P. Ruyssen C. Riquelme ... Michael Tschannen Marcin Michalski Olivier Bousquet Sylvain Gelly N. Houlsby SSL 30 426 0 01 Oct 2019
XNOR-Net++: Improved Binary Neural Networks Adrian Bulat Georgios Tzimiropoulos MQ 39 200 0 30 Sep 2019
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows R. Cornish Anthony L. Caterini George Deligiannidis Arnaud Doucet 29 2 0 30 Sep 2019
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts Yu Sun Xiaolong Wang Zhuang Liu John Miller Alexei A. Efros Moritz Hardt TTA OOD 27 92 0 29 Sep 2019
Hierarchical Neural Architecture Search via Operator Clustering Guilin Li Xingzhi Zhang Zitong Wang Matthias Tan Jiashi Feng Zhenguo Li Tong Zhang 27 25 0 26 Sep 2019
High Fidelity Speech Synthesis with Adversarial Networks Mikolaj Binkowski Jeff Donahue Sander Dieleman Aidan Clark Erich Elsen Norman Casagrande Luis C. Cobo Karen Simonyan 243 239 0 25 Sep 2019
Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging Ayush Singh S. Salehi Ali Gholipour MedIm 21 34 0 25 Sep 2019
Locally adaptive activation functions with slope recovery term for deep and physics-informed neural networks Ameya Dilip Jagtap Kenji Kawaguchi George Karniadakis ODL 29 85 0 25 Sep 2019
Gated Channel Transformation for Visual Recognition Zongxin Yang Linchao Zhu Yu Wu Yezhou Yang ViT 22 204 0 25 Sep 2019
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks Tianyu Pang Kun Xu Jun Zhu AAML 28 103 0 25 Sep 2019
Learning an Adaptive Learning Rate Schedule Zhen Xu Andrew M. Dai Jonas Kemp Luke Metz 22 62 0 20 Sep 2019
Deep Metric Learning using Similarities from Nonlinear Rank Approximations Konstantin Schall Kai Uwe Barthel Nico Hezel Klaus Jung DML 23 3 0 20 Sep 2019
Deep Aggregation of Regional Convolutional Activations for Content Based Image Retrieval Konstantin Schall Kai Uwe Barthel Nico Hezel Klaus Jung 21 5 0 20 Sep 2019
Meta-Neighborhoods Siyuan Shan Yang Li Junier Oliva 27 13 0 18 Sep 2019
3D Kidneys and Kidney Tumor Semantic Segmentation using Boundary-Aware Networks Andriy Myronenko Ali Hatamizadeh 16 33 0 14 Sep 2019
Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations Vishnu Suresh Lokhande Songwong Tasneeyapant Abhay Venkatesh Sathya Ravi Vikas Singh 27 29 0 12 Sep 2019
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks Shuang Gao Xin Liu Lung-Sheng Chien William Zhang J. Álvarez VLM 3DPC 24 15 0 10 Sep 2019
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution Wenming Yang Xuechen Zhang Yapeng Tian Wei Wang Jing-Hao Xue Q. Liao 26 16 0 09 Sep 2019
Receptive-field-regularized CNN variants for acoustic scene classification Khaled Koutini Hamid Eghbalzadeh Gerhard Widmer 27 29 0 05 Sep 2019
Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge Gianmarco Santini Noémie Moreau M. Rubeaux 11 31 0 02 Sep 2019
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning Zhijun Mai Guosheng Hu Dexiong Chen Fumin Shen Heng Tao Shen 22 41 0 27 Aug 2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels Felix J. S. Bragman Ryutaro Tanno Sebastien Ourselin Daniel C. Alexander M. Jorge Cardoso 24 86 0 26 Aug 2019
Spiking Neural Predictive Coding for Continual Learning from Data Streams Alexander Ororbia 25 25 0 23 Aug 2019
Adaptative Inference Cost With Convolutional Neural Mixture Models Adria Ruiz Jakob Verbeek VLM 30 22 0 19 Aug 2019
NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 17 265 0 19 Aug 2019
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Jiadong Lin Chuanbiao Song Kun He Liwei Wang J. Hopcroft AAML 38 555 0 17 Aug 2019
Needles in Haystacks: On Classifying Tiny Objects in Large Images Nick Pawlowski Suvrat Bhooshan Nicolas Ballas F. Ciompi Ben Glocker M. Drozdzal 27 22 0 16 Aug 2019
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks Zhaoyang Zhang Jingyu Li Wenqi Shao Zhanglin Peng Ruimao Zhang Xiaogang Wang Ping Luo 27 37 0 16 Aug 2019
Entropic Out-of-Distribution Detection David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 25 32 0 15 Aug 2019
Adaptive Regularization of Labels Qianggang Ding Sifan Wu Hao Sun Jiadong Guo Shutao Xia ODL 24 29 0 15 Aug 2019
Fusion of Detected Objects in Text for Visual Question Answering Chris Alberti Jeffrey Ling Michael Collins David Reitter 17 173 0 14 Aug 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 32 447 0 14 Aug 2019
Predicting 3D Human Dynamics from Video Jason Y. Zhang Panna Felsen Angjoo Kanazawa Jitendra Malik 3DH 24 110 0 13 Aug 2019
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise Senwei Liang Zhongzhan Huang Mingfu Liang Haizhao Yang 30 57 0 12 Aug 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks Xinyu Gong Shiyu Chang Yi Ding Zhangyang Wang GAN 35 263 0 11 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 29 45 0 10 Aug 2019
Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Yang Liu Jianpeng Zhang Chao Gao Jinghua Qu Lixin Ji FAtt 27 23 0 10 Aug 2019
Recent Advances in Deep Learning for Object Detection Xiongwei Wu Doyen Sahoo Guosheng Lin VLM ObjD 35 800 0 10 Aug 2019
Biologically-inspired Salience Affected Artificial Neural Network (SANN) Leendert A. Remmelzwaal George F. R. Ellis J. Tapson Amit K Mishra 18 3 0 09 Aug 2019