Net2Net: Accelerating Learning via Knowledge Transfer

18 November 2015

Papers citing "Net2Net: Accelerating Learning via Knowledge Transfer"

37 / 137 papers shown

Title
Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation Shiming Ge Shengwei Zhao Chenyu Li Jia Li CVBM 28 188 0 25 Nov 2018
Towards Training Recurrent Neural Networks for Lifelong Learning Shagun Sodhani A. Chandar Yoshua Bengio CLL 27 19 0 16 Nov 2018
Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study I. Tyukin Alexander N. Gorban Stephen Green Danil Prokhorov 22 15 0 12 Oct 2018
Virtual Battery Parameter Identification using Transfer Learning based Stacked Autoencoder Indrasis Chakraborty S. Nandanoori Soumya Kundu 23 13 0 10 Oct 2018
Filter Distillation for Network Compression Xavier Suau Luca Zappella N. Apostoloff 29 38 0 20 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure Hamed Hakkak OffRL AI4CE 15 1 0 08 Jul 2018
Auto-Keras: An Efficient Neural Architecture Search System Haifeng Jin Qingquan Song Xia Hu 40 795 0 27 Jun 2018
Constructing Deep Neural Networks by Bayesian Network Structure Learning R. Y. Rohekar Shami Nisimov Yaniv Gurwicz G. Koren Gal Novik BDL 31 26 0 24 Jun 2018
Lamarckian Evolution of Convolutional Neural Networks J. Prellberg Oliver Kramer ODL 22 17 0 21 Jun 2018
DynMat, a network that can learn after learning J. H. Lee OffRL 24 5 0 16 Jun 2018
Path-Level Network Transformation for Efficient Architecture Search Han Cai Jiacheng Yang Weinan Zhang Song Han Yong Yu 27 210 0 07 Jun 2018
Mix&Match - Agent Curricula for Reinforcement Learning Wojciech M. Czarnecki Siddhant M. Jayakumar Max Jaderberg Leonard Hasenclever Yee Whye Teh Simon Osindero N. Heess Razvan Pascanu 8 71 0 05 Jun 2018
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students Chenglin Yang Lingxi Xie Siyuan Qiao Alan Yuille 35 135 0 15 May 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 499 0 24 Apr 2018
Learning Deep Representations with Probabilistic Knowledge Transfer Nikolaos Passalis Anastasios Tefas 31 406 0 28 Mar 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back Elliot Meyerson Risto Miikkulainen 25 45 0 11 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 34 875 0 03 Mar 2018
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control Glen Berseth Kevin Xie Paul Cernek M. van de Panne 29 56 0 13 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 35 1,343 0 10 Feb 2018
Digital Watermarking for Deep Neural Networks Yuki Nagai Yusuke Uchida S. Sakazawa Shiníchi Satoh WIGM 31 144 0 06 Feb 2018
Scalable Recollections for Continual Lifelong Learning Matthew D Riemer Tim Klinger Djallel Bouneffouf M. Franceschini CLL 24 62 0 17 Nov 2017
Simple And Efficient Architecture Search for Convolutional Neural Networks T. Elsken J. H. Metzen Frank Hutter 36 230 0 13 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 40 1,087 0 23 Oct 2017
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model Jiasen Lu A. Kannan Jianwei Yang Devi Parikh Dhruv Batra BDL 38 136 0 05 Jun 2017
DiracNets: Training Very Deep Neural Networks Without Skip-Connections Sergey Zagoruyko N. Komodakis UQCV OOD 16 117 0 01 Jun 2017
Inception Recurrent Convolutional Neural Network for Object Recognition Md. Zahangir Alom Mahmudul Hasan C. Yakopcic T. Taha 41 86 0 25 Apr 2017
Delving Deeper into MOOC Student Dropout Prediction Jacob Whitehill K. Mohan Daniel T. Seaton Y. Rosen D. Tingley 19 90 0 21 Feb 2017
Universal representations:The missing link between faces, text, planktons, and cat breeds Hakan Bilen Andrea Vedaldi 38 147 0 25 Jan 2017
Embedding Watermarks into Deep Neural Networks Yusuke Uchida Yuki Nagai S. Sakazawa Shiníchi Satoh 62 598 0 15 Jan 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 264 3,246 0 24 Nov 2016
Product-based Neural Networks for User Response Prediction Yanru Qu Han Cai Kan Ren Weinan Zhang Yong Yu Ying Wen Jun Wang 31 708 0 01 Nov 2016
AdaNet: Adaptive Structural Learning of Artificial Neural Networks Corinna Cortes X. Gonzalvo Vitaly Kuznetsov M. Mohri Scott Yang 31 283 0 05 Jul 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 116 4,322 0 29 Jun 2016
Convolutional Neural Fabrics Shreyas Saxena Jakob Verbeek 24 225 0 08 Jun 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples Nicolas Papernot Patrick McDaniel Ian Goodfellow SILM AAML 49 1,729 0 24 May 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 98 7,920 0 23 May 2016
Network Morphism Tao Wei Changhu Wang Y. Rui Chen Chen 21 176 0 05 Mar 2016