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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
Skeptical Deep Learning with Distribution Correction Mingxiao An Yongzhou Chen Qi Liu Chuanren Liu Guangyi Lv Fangzhao Wu Jianhui Ma NoLa 35 0 0 09 Nov 2018
Gradient Descent Finds Global Minima of Deep Neural Networks S. Du Jason D. Lee Haochuan Li Liwei Wang Masayoshi Tomizuka ODL 353 1,137 0 09 Nov 2018
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons Byeongho Heo Minsik Lee Sangdoo Yun J. Choi 66 536 0 08 Nov 2018
FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks Gautam Bhattacharya Ashutosh Adhikari Md. Jahangir Alam 76 33 0 07 Nov 2018
MixTrain: Scalable Training of Verifiably Robust Neural Networks Yue Zhang Yizheng Chen Ahmed Abdou Mohsen Guizani AAML 43 23 0 06 Nov 2018
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond Krishna Kumar Singh Shibani Santurkar Aron Sarmasi Aleksander Madry Yong Jae Lee 76 97 0 06 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 108 22 0 03 Nov 2018
Radius-margin bounds for deep neural networks Mayank Sharma Jayadeva Jayadeva Sumit Soman AAML 42 1 0 03 Nov 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 183 625 0 02 Nov 2018
Stochastic Normalizations as Bayesian Learning Alexander Shekhovtsov B. Flach UQCV BDL 70 15 0 01 Nov 2018
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration Yang He Ping Liu Ziwei Wang Zhilan Hu Yi Yang AAML 3DPC 98 1,052 0 01 Nov 2018
Acute and sub-acute stroke lesion segmentation from multimodal MRI Albert Clérigues Sergi Valverde J. Bernal J. Freixenet A. Oliver Xavier Llado 71 6 0 31 Oct 2018
Learning Better Internal Structure of Words for Sequence Labeling Yingwei Xin Ethan Hart Vibhuti Mahajan Jean-David Ruvini SSL NAI 59 38 0 29 Oct 2018
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks Jie Hu Li Shen Samuel Albanie Gang Sun Andrea Vedaldi 86 582 0 29 Oct 2018
Three Mechanisms of Weight Decay Regularization Guodong Zhang Chaoqi Wang Bowen Xu Roger C. Grosse 75 260 0 29 Oct 2018
Learning to Teach with Dynamic Loss Functions Lijun Wu Fei Tian Yingce Xia Yang Fan Tao Qin Jianhuang Lai Tie-Yan Liu 78 112 0 29 Oct 2018
Learning with Bad Training Data via Iterative Trimmed Loss Minimization Yanyao Shen Sujay Sanghavi FedML 63 4 0 28 Oct 2018
Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks A. Mozafari H. Gomes Wilson Leão Steeven Janny Christian Gagné 79 28 0 27 Oct 2018
Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses Mohammad J. Hashemi Greg Cusack Eric Keller AAML SILM 51 8 0 23 Oct 2018
DropFilter: Dropout for Convolutions Zhengsu Chen 35 4 0 23 Oct 2018
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs? Nitin Bansal Xiaohan Chen Zhangyang Wang OOD 114 188 0 22 Oct 2018
A Modern Take on the Bias-Variance Tradeoff in Neural Networks Brady Neal Sarthak Mittal A. Baratin Vinayak Tantia Matthew Scicluna Simon Lacoste-Julien Ioannis Mitliagkas 87 168 0 19 Oct 2018
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning Zhiwu Lu Jiechao Guan Aoxue Li Tao Xiang An Zhao Ji-Rong Wen 73 64 0 19 Oct 2018
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning Aoxue Li Zhiwu Lu Jiechao Guan Tao Xiang Liwei Wang Ji-Rong Wen VLM 65 20 0 19 Oct 2018
Sequenced-Replacement Sampling for Deep Learning C. Ho Dae Hoon Park Wei Yang Yi Chang 35 0 0 19 Oct 2018
S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact Reduction Bolun Zheng Rui Sun Xiang Tian Yao-wu Chen 69 21 0 18 Oct 2018
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking Yigitcan Kaya Sanghyun Hong Tudor Dumitras 27 5 0 16 Oct 2018
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions Muhammad Kamran Janjua Shah Nawaz Alessandro Calefati I. Gallo 23 0 0 16 Oct 2018
Unsupervised Deep Features for Remote Sensing Image Matching via Discriminator Network Fnu Mohbat Numan Khurshid M. Taj 71 15 0 15 Oct 2018
Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss! Maneet Singh Shruti Nagpal Mayank Vatsa Richa Singh A. Noore SSL DRL 38 4 0 15 Oct 2018
Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks Yulei Qin Juan Wen Hao Zheng Xiaolin Huang Jie Yang Ning-jing Song Y. Zhu Lingqian Wu Guang-Zhong Yang 42 73 0 13 Oct 2018
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel Colin Wei Jason D. Lee Qiang Liu Tengyu Ma 268 245 0 12 Oct 2018
A Closer Look at Structured Pruning for Neural Network Compression Elliot J. Crowley Jack Turner Amos Storkey Michael F. P. O'Boyle 3DPC 80 31 0 10 Oct 2018
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms Jingwoong Kim Minkyu Kim Heungseok Park Ernar Kusdavletov Dongjun Lee A. Kim Ji-Hoon Kim Jung-Woo Ha Nako Sung 66 14 0 08 Oct 2018
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm Zhichao Lu Ian Whalen Vishnu Boddeti Yashesh D. Dhebar Kalyanmoy Deb E. Goodman W. Banzhaf 89 81 0 08 Oct 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 325 1,215 0 04 Oct 2018
Progressive Feature Fusion Network for Realistic Image Dehazing Kangfu Mei Aiwen Jiang Juncheng Li Mingwen Wang 75 109 0 04 Oct 2018
Gradient Descent Provably Optimizes Over-parameterized Neural Networks S. Du Xiyu Zhai Barnabás Póczós Aarti Singh MLT ODL 381 1,275 0 04 Oct 2018
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets Mingjie Wang Jun Zhou Wendong Mao Minglun Gong 36 9 0 02 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 102 49 0 02 Oct 2018
Large batch size training of neural networks with adversarial training and second-order information Z. Yao A. Gholami Daiyaan Arfeen Richard Liaw Joseph E. Gonzalez Kurt Keutzer Michael W. Mahoney ODL 96 42 0 02 Oct 2018
Dynamic Sparse Graph for Efficient Deep Learning Liu Liu Lei Deng Xing Hu Maohua Zhu Guoqi Li Yufei Ding Yuan Xie GNN 90 42 0 01 Oct 2018
Privado: Practical and Secure DNN Inference with Enclaves Karan Grover Shruti Tople Shweta Shinde Ranjita Bhagwan Ramachandran Ramjee FedML SILM 72 46 0 01 Oct 2018
RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification S. H. Shabbeer Basha Soumen Ghosh Kancharagunta Kishan Babu S. Dubey Viswanath Pulabaigari Snehasis Mukherjee 100 55 0 30 Sep 2018
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout Kun Wan Boyuan Feng Lingwei Xie Yufei Ding 58 11 0 28 Sep 2018
Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences Seonguk Seo Paul Hongsuck Seo Bohyung Han FedML UQCV BDL 163 76 0 28 Sep 2018
On the loss landscape of a class of deep neural networks with no bad local valleys Quynh N. Nguyen Mahesh Chandra Mukkamala Matthias Hein 97 87 0 27 Sep 2018
Compressing the Input for CNNs with the First-Order Scattering Transform Edouard Oyallon Eugene Belilovsky Sergey Zagoruyko Michal Valko 71 25 0 27 Sep 2018
An Exploration of Mimic Architectures for Residual Network Based Spectral Mapping Peter William VanHarn Plantinga Deblin Bagchi Eric Fosler-Lussier 103 11 0 25 Sep 2018
Identifying Generalization Properties in Neural Networks Huan Wang N. Keskar Caiming Xiong R. Socher 74 50 0 19 Sep 2018