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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
Being Bayesian about Categorical Probability Taejong Joo U. Chung Minji Seo UQCV BDL 97 61 0 19 Feb 2020
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks Wen Tang Émilie Chouzenoux J. Pesquet Hamid Krim 64 14 0 18 Feb 2020
Evolutionary Optimization of Deep Learning Activation Functions G. Bingham William Macke Risto Miikkulainen ODL 50 51 0 17 Feb 2020
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems Ryan Feng Neal Mangaokar Jiefeng Chen Earlence Fernandes S. Jha Atul Prakash OOD AAML 43 11 0 17 Feb 2020
Class-Imbalanced Semi-Supervised Learning Minsung Hyun Jisoo Jeong Nojun Kwak 60 49 0 17 Feb 2020
Residual Continual Learning Janghyeon Lee Donggyu Joo H. Hong Junmo Kim CLL 133 24 0 17 Feb 2020
CRL: Class Representative Learning for Image Classification Mayanka Chandrashekar Yugyung Lee VLM 105 1 0 16 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 114 320 0 15 Feb 2020
Adversarial Distributional Training for Robust Deep Learning Yinpeng Dong Zhijie Deng Tianyu Pang Hang Su Jun Zhu OOD 96 123 0 14 Feb 2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets Dongxian Wu Yisen Wang Shutao Xia James Bailey Xingjun Ma AAML SILM 108 314 0 14 Feb 2020
Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization Vien V. Mai M. Johansson 99 56 0 13 Feb 2020
The Conditional Entropy Bottleneck Ian S. Fischer OOD 117 122 0 13 Feb 2020
Intra-Camera Supervised Person Re-Identification Xiangping Zhu Xiatian Zhu Minxian Li Pietro Morerio Vittorio Murino S. Gong 82 39 0 12 Feb 2020
Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning Sejun Park Jaeho Lee Sangwoo Mo Jinwoo Shin 62 94 0 12 Feb 2020
fastai: A Layered API for Deep Learning Jeremy Howard Sylvain Gugger AI4CE 135 872 0 11 Feb 2020
Meta-Learning across Meta-Tasks for Few-Shot Learning Nanyi Fei Zhiwu Lu Yizhao Gao Jia Tian Tao Xiang Ji-Rong Wen 273 11 0 11 Feb 2020
Improving the affordability of robustness training for DNNs Sidharth Gupta Parijat Dube Ashish Verma AAML 57 15 0 11 Feb 2020
Regularized Evolutionary Population-Based Training J. Liang Santiago Gonzalez Hormoz Shahrzad Risto Miikkulainen 60 9 0 11 Feb 2020
Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width Yu Bai Ben Krause Huan Wang Caiming Xiong R. Socher 74 22 0 10 Feb 2020
Data augmentation with Mobius transformations Sharon Zhou Jiequan Zhang Hang Jiang T. Lundh A. Ng 54 21 0 07 Feb 2020
Quasi-Equivalence of Width and Depth of Neural Networks Fenglei Fan Rongjie Lai Ge Wang 72 11 0 06 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis Jiechao Guan Zhiwu Lu Tao Xiang Ji-Rong Wen 44 12 0 06 Feb 2020
Feature-map-level Online Adversarial Knowledge Distillation Inseop Chung Seonguk Park Jangho Kim Nojun Kwak GAN 94 131 0 05 Feb 2020
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform Jun Li Fuxin Li S. Todorovic 89 107 0 04 Feb 2020
PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations O. Pannekoucke Ronan Fablet AI4CE PINN DiffM 41 8 0 03 Feb 2020
Regularizers for Single-step Adversarial Training S. VivekB. R. Venkatesh Babu AAML 56 7 0 03 Feb 2020
Post-Training Piecewise Linear Quantization for Deep Neural Networks Jun Fang Ali Shafiee Hamzah Abdel-Aziz D. Thorsley Georgios Georgiadis Joseph Hassoun MQ 106 148 0 31 Jan 2020
Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization Santiago Gonzalez Risto Miikkulainen 55 9 0 31 Jan 2020
A study on the role of subsidiary information in replay attack spoofing detection Jee-weon Jung Hye-jin Shim Hee-Soo Heo Ha-Jin Yu 64 3 0 31 Jan 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning Peter Henderson Jie Hu Joshua Romoff Emma Brunskill Dan Jurafsky Joelle Pineau 106 459 0 31 Jan 2020
3D Aggregated Faster R-CNN for General Lesion Detection Ning Zhang Yu Cao Benyuan Liu Yan Luo MedIm 74 9 0 29 Jan 2020
Depthwise-STFT based separable Convolutional Neural Networks Sudhakar Kumawat Shanmuganathan Raman OOD MDE 50 5 0 27 Jan 2020
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification Yuqing Hu Vincent Gripon S. Pateux 73 28 0 27 Jan 2020
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification Jie Chen Haozhe Huang Jian Peng Jiawei Zhu Li Chen Wenbo Li Bingyu Sun Haifeng Li 51 14 0 27 Jan 2020
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification Penny Chong Lukas Ruff Marius Kloft Alexander Binder 120 36 0 24 Jan 2020
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation Byung Hoon Ahn Prannoy Pilligundla Amir Yazdanbakhsh H. Esmaeilzadeh ODL 113 82 0 23 Jan 2020
Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via Filtered Jaccard Loss Function and Parametric Augmentation S. Mohajerani Parvaneh Saeedi 75 23 0 23 Jan 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 668 4,937 0 23 Jan 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 169 3,597 0 21 Jan 2020
Harmonic Convolutional Networks based on Discrete Cosine Transform Matej Ulicny V. Krylov Rozenn Dahyot 56 36 0 18 Jan 2020
Elastic Consistency: A General Consistency Model for Distributed Stochastic Gradient Descent Giorgi Nadiradze Ilia Markov Bapi Chatterjee Vyacheslav Kungurtsev Dan Alistarh FedML 121 14 0 16 Jan 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla Fuwen Tan Yanjun Qi Vicente Ordonez ODL 109 23 0 16 Jan 2020
Extending Class Activation Mapping Using Gaussian Receptive Field Bum Jun Kim Gyogwon Koo Hyeyeon Choi Sang Woo Kim 38 7 0 15 Jan 2020
Understanding Generalization in Deep Learning via Tensor Methods Jingling Li Yanchao Sun Jiahao Su Taiji Suzuki Furong Huang 124 28 0 14 Jan 2020
Structured Consistency Loss for semi-supervised semantic segmentation Jongmok Kim JooYoung Jang Hyunwoo Park SeongAh Jeong 91 68 0 14 Jan 2020
Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation Madan Ravi Ganesh Jason J. Corso ODL 60 10 0 13 Jan 2020
Semi-supervised learning method based on predefined evenly-distributed class centroids Qiuyu Zhu Tiantian Li SSL 44 6 0 13 Jan 2020
GridMask Data Augmentation Pengguang Chen Shu Liu Hengshuang Zhao Xingquan Wang Jiaya Jia 109 312 0 13 Jan 2020
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey F. Sultana Abu Sufian P. Dutta SSeg 141 258 0 13 Jan 2020
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers M. Soflaei Hongyu Guo Ali Al-Bashabsheh Yongyi Mao Richong Zhang MQ 37 8 0 12 Jan 2020