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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
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles Kashyap Chitta J. Álvarez Adam Lesnikowski BDL UQCV 128 35 0 08 Nov 2018
Characterizing Well-Behaved vs. Pathological Deep Neural Networks Mitchell Stern 53 0 0 07 Nov 2018
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance Zechun Liu Wenhan Luo Baoyuan Wu Xin Yang Wen Liu K. Cheng MQ 69 95 0 04 Nov 2018
Pushing the boundaries of audiovisual word recognition using Residual Networks and LSTMs Themos Stafylakis M. H. Khan Georgios Tzimiropoulos VLM 68 60 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
Single-Model Uncertainties for Deep Learning Natasa Tagasovska David Lopez-Paz UQCV BDL 337 25 0 02 Nov 2018
Modeling Conceptual Characteristics of Virtual Machines for CPU Utilization Prediction Shengwei Chen Yanyan Shen Yanmin Zhu 29 5 0 01 Nov 2018
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning Wenbin Li Wei Xiong Haofu Liao Jing Huo Yang Gao Jiebo Luo GAN 109 44 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
Methods for Segmentation and Classification of Digital Microscopy Tissue Images Q. Vu S. Graham Minh-Son To Muhammad Shaban Talha Qaiser ... Tianhao Zhao Rajarsi R. Gupta J. T. Kwak Nasir M. Rajpoot Joel H. Saltz 129 274 0 31 Oct 2018
Structure Learning of Deep Neural Networks with Q-Learning G. Zhong Wencong Jiao Wei Gao 67 0 0 31 Oct 2018
Attentive Filtering Networks for Audio Replay Attack Detection Cheng-I Jeff Lai A. Abad Korin Richmond Junichi Yamagishi Najim Dehak Simon King AAML 97 81 0 31 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
Logit Pairing Methods Can Fool Gradient-Based Attacks Marius Mosbach Maksym Andriushchenko T. A. Trost Matthias Hein Dietrich Klakow AAML 68 83 0 29 Oct 2018
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints Andrew Hundt Varun Jain Chia-Hung Lin Chris Paxton Gregory Hager 83 12 0 27 Oct 2018
3D MRI brain tumor segmentation using autoencoder regularization Andriy Myronenko 113 1,056 0 27 Oct 2018
$A^2$ -Nets: Double Attention Networks Yunpeng Chen Yannis Kalantidis Jianshu Li Shuicheng Yan Jiashi Feng 98 533 0 27 Oct 2018
Structure Learning of Deep Networks via DNA Computing Algorithm G. Zhong Tao Li Wenxue Liu Yang Chen 38 4 0 25 Oct 2018
Image-based Natural Language Understanding Using 2D Convolutional Neural Networks Erinc Merdivan Anastasios Vafeiadis D. Kalatzis S. Hanke J. Kropf ... Dimitrios Giakoumis Dimitrios Tzovaras Liming Chen R. Hamzaoui Matthieu Geist VLM 44 2 0 24 Oct 2018
Understanding and correcting pathologies in the training of learned optimizers Luke Metz Niru Maheswaranathan Jeremy Nixon C. Freeman Jascha Narain Sohl-Dickstein ODL 104 149 0 24 Oct 2018
DropFilter: Dropout for Convolutions Zhengsu Chen 35 4 0 23 Oct 2018
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation N. Gessert M. Gromniak M. Schlüter Alexander Schlaefer 21 2 0 22 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
Depth with Nonlinearity Creates No Bad Local Minima in ResNets Kenji Kawaguchi Yoshua Bengio ODL 104 64 0 21 Oct 2018
Sequenced-Replacement Sampling for Deep Learning C. Ho Dae Hoon Park Wei Yang Yi Chang 35 0 0 19 Oct 2018
KTAN: Knowledge Transfer Adversarial Network Peiye Liu Wu Liu Huadong Ma Tao Mei Mingoo Seok GAN 86 28 0 18 Oct 2018
Decoupling Semantic Context and Color Correlation with multi-class cross branch regularization Vishal Keshav L. TejpratapG.V.S. 40 3 0 18 Oct 2018
Quasi-hyperbolic momentum and Adam for deep learning Jerry Ma Denis Yarats ODL 165 130 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
Channel Splitting Network for Single MR Image Super-Resolution Xiaole Zhao Yulun Zhang Zhang Tao Xueming Zou SupR 88 140 0 15 Oct 2018
Playing for Depth M. M. Haji-Esmaeili G. Montazer 39 2 0 15 Oct 2018
Efficient Augmentation via Data Subsampling Michael Kuchnik Virginia Smith 120 22 0 11 Oct 2018
Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling Eric Dodds Huy Nguyen Simão Herdade Jack Culpepper Andrew Kae Pierre Garrigues DML 51 5 0 10 Oct 2018
Penetrating the Fog: the Path to Efficient CNN Models Kun Wan Boyuan Feng Shu Yang Yufei Ding 38 0 0 09 Oct 2018
Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition Benjamin Planche Sergey Zakharov Ziyan Wu Andreas Hutter H. Kosch Slobodan Ilic GAN OOD 49 11 0 09 Oct 2018
Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms A. N. Olesen P. Jennum P. Peppard Emmanuel Mignot H. Sørensen 61 26 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
Fast Object Learning and Dual-arm Coordination for Cluttered Stowing, Picking, and Packing Max Schwarz Christian Lenz Germán Martín García Seongyong Koo Arul Selvam Periyasamy M. Schreiber Sven Behnke 73 77 0 06 Oct 2018
Multi-view X-ray R-CNN Jan-Martin O. Steitz Faraz Saeedan Stefan Roth 56 25 0 04 Oct 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 117 230 0 04 Oct 2018
$Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks$ Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks Deniz Mengu Yilin Luo Y. Rivenson Aydogan Ozcan 148 149 0 03 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
Learning Hash Codes via Hamming Distance Targets M. Lončarić Bowei Liu Ryan Weber MQ 113 4 0 01 Oct 2018
Improved robustness to adversarial examples using Lipschitz regularization of the loss Chris Finlay Adam M. Oberman B. Abbasi 80 34 0 01 Oct 2018
Classification from Positive, Unlabeled and Biased Negative Data Yu-Guan Hsieh Gang Niu Masashi Sugiyama 66 80 0 01 Oct 2018
Mini-batch Serialization: CNN Training with Inter-layer Data Reuse Sangkug Lym Armand Behroozi W. Wen Ge Li Yongkee Kwon M. Erez 41 26 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 Pose Estimation for High-Precision Robotic Assembly Using Simulated Depth Images Yuval Litvak Armin Biess Aharon Bar-Hillel 69 41 0 27 Sep 2018
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation Hyunjin Park Jens Petersen André Klein David Zimmerer Paul F. Jaeger ... Jakob Wasserthal Gregor Koehler T. Norajitra Sebastian J. Wirkert Klaus H. Maier-Hein SSeg 132 795 0 27 Sep 2018