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Net2Net: Accelerating Learning via Knowledge Transfer

18 November 2015

Papers citing "Net2Net: Accelerating Learning via Knowledge Transfer"

50 / 343 papers shown

Title
Learning from Higher-Layer Feature Visualizations K. Nikolaidis Stein Kristiansen V. Goebel T. Plagemann 51 5 0 06 Mar 2019
Overcoming Multi-Model Forgetting Yassine Benyahia Kaicheng Yu Kamil Bennani-Smires Martin Jaggi A. Davison Mathieu Salzmann C. Musat MoMe KELM CLL 96 37 0 21 Feb 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang OODD MQ 152 312 0 28 Jan 2019
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search Jiemin Fang Yukang Chen Xinbang Zhang Qian Zhang Chang Huang Gaofeng Meng Wenyu Liu Xinggang Wang 91 24 0 17 Jan 2019
NeuNetS: An Automated Synthesis Engine for Neural Network Design Atin Sood Benjamin Elder Benjamin Herta Chao Xue C. Bekas ... M. Choudhury Rong Yan R. Istrate Ruchi Puri Tejaswini Pedapati SyDa 62 7 0 17 Jan 2019
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search Yesmina Jaâfra J. Laurent A. Deruyver M. Naceur OOD 49 14 0 17 Dec 2018
MEAL: Multi-Model Ensemble via Adversarial Learning Zhiqiang Shen Zhankui He Xiangyang Xue AAML FedML 88 147 0 06 Dec 2018
Snapshot Distillation: Teacher-Student Optimization in One Generation Chenglin Yang Lingxi Xie Chi Su Alan Yuille 84 193 0 01 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 173 1,279 0 30 Nov 2018
Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation Shiming Ge Shengwei Zhao Chenyu Li Jia Li CVBM 150 188 0 25 Nov 2018
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning Stephen Bonner John Brennan Ibad Kureshi Georgios Theodoropoulos A. Mcgough B. Obara OOD 65 15 0 20 Nov 2018
Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector Pravendra Singh Manikandan Ravikiran Neeraj Matiyali Vinay P. Namboodiri 69 21 0 20 Nov 2018
Towards Training Recurrent Neural Networks for Lifelong Learning Shagun Sodhani A. Chandar Yoshua Bengio CLL 65 19 0 16 Nov 2018
LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks Christian Bartz Haojin Yang Joseph Bethge Christoph Meinel 37 2 0 14 Nov 2018
Optimizing Segmentation Granularity for Neural Machine Translation Elizabeth Salesky Andrew Runge Alex Coda Jan Niehues Graham Neubig 65 37 0 19 Oct 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 59 15 0 12 Oct 2018
Virtual Battery Parameter Identification using Transfer Learning based Stacked Autoencoder Indrasis Chakraborty S. Nandanoori Soumya Kundu 28 13 0 10 Oct 2018
LIT: Block-wise Intermediate Representation Training for Model Compression Animesh Koratana Daniel Kang Peter Bailis Matei A. Zaharia 50 12 0 02 Oct 2018
MotherNets: Rapid Deep Ensemble Learning Abdul Wasay Brian Hentschel Yuze Liao Sanyuan Chen Stratos Idreos 58 35 0 12 Sep 2018
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction Liang-Chieh Chen Maxwell D. Collins Yukun Zhu George Papandreou Barret Zoph Florian Schroff Hartwig Adam Jonathon Shlens 3DV 94 412 0 11 Sep 2018
Metabolize Neural Network Dan Dai Zhiwen Yu Yang Hu Wenming Cao Mingnan Luo 23 0 0 04 Sep 2018
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams Mahardhika Pratama Witold Pedrycz Geoffrey I. Webb 62 52 0 26 Aug 2018
Filter Distillation for Network Compression Xavier Suau Luca Zappella N. Apostoloff 46 38 0 20 Jul 2018
Adaptive Neural Trees Ryutaro Tanno Kai Arulkumaran Daniel C. Alexander A. Criminisi A. Nori 428 169 0 17 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure Hamed Hakkak OffRL AI4CE 93 1 0 08 Jul 2018
Auto-Keras: An Efficient Neural Architecture Search System Haifeng Jin Qingquan Song Helen Zhou 140 813 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 130 26 0 24 Jun 2018
Lamarckian Evolution of Convolutional Neural Networks J. Prellberg Oliver Kramer ODL 54 17 0 21 Jun 2018
DynMat, a network that can learn after learning J. H. Lee OffRL 115 6 0 16 Jun 2018
Path-Level Network Transformation for Efficient Architecture Search Han Cai Jiacheng Yang Weinan Zhang Song Han Yong Yu 76 211 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 82 72 0 05 Jun 2018
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization Kashyap Chitta 28 2 0 01 Jun 2018
Recurrent knowledge distillation S. Pintea Yue Liu Jan van Gemert ODL 21 2 0 18 May 2018
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students Chenglin Yang Lingxi Xie Siyuan Qiao Alan Yuille 88 136 0 15 May 2018
CompNet: Neural networks growing via the compact network morphism Jun Lu Wei-Ying Ma Boi Faltings GNN 31 4 0 27 Apr 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 240 503 0 24 Apr 2018
Learning Deep Representations with Probabilistic Knowledge Transfer Nikolaos Passalis Anastasios Tefas 78 416 0 28 Mar 2018
Adversarial Network Compression Vasileios Belagiannis Azade Farshad Fabio Galasso GAN AAML 63 58 0 28 Mar 2018
Incremental Training of Deep Convolutional Neural Networks R. Istrate A. Malossi C. Bekas Dimitrios S. Nikolopoulos CLL 68 21 0 27 Mar 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back Elliot Meyerson Risto Miikkulainen 69 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 133 883 0 03 Mar 2018
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control Glen Berseth Kevin Xie Paul Cernek M. van de Panne 87 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 129 1,350 0 10 Feb 2018
Digital Watermarking for Deep Neural Networks Yuki Nagai Yusuke Uchida S. Sakazawa Shiníchi Satoh WIGM 81 144 0 06 Feb 2018
Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy Ognjen Rudovic Jaeryoung Lee Miles Dai Bjorn Schuller Rosalind W. Picard 96 272 0 04 Feb 2018
Finding Competitive Network Architectures Within a Day Using UCT Martin Wistuba 54 22 0 20 Dec 2017
Nonparametric Neural Networks George Philipp J. Carbonell 69 21 0 14 Dec 2017
An Equivalence of Fully Connected Layer and Convolutional Layer Wei-Ying Ma Jun Lu 52 65 0 04 Dec 2017
Modular Continual Learning in a Unified Visual Environment Kevin T. Feigelis Blue Sheffer Daniel L. K. Yamins 29 0 0 20 Nov 2017
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks A. Gordon Elad Eban Ofir Nachum Bo Chen Hao Wu Tien-Ju Yang Edward Choi 91 339 0 18 Nov 2017