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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
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search Jiemin Fang Yuzhu Sun Kangjian Peng Qian Zhang Yuan Li Wenyu Liu Xinggang Wang SSeg 55 34 0 08 Jan 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search Xuanyi Dong Yi Yang 152 718 0 02 Jan 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 150 570 0 18 Dec 2019
Neural Network Surgery with Sets Jonathan Raiman Susan Zhang Christy Dennison 58 4 0 13 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 181 1,840 0 13 Dec 2019
An Improving Framework of regularization for Network Compression E. Zhenqian Weiguo Gao AI4CE 38 0 0 11 Dec 2019
Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing Mohammed Amer Tomás Maul 47 6 0 10 Dec 2019
Towards Oracle Knowledge Distillation with Neural Architecture Search Minsoo Kang Jonghwan Mun Bohyung Han FedML 111 44 0 29 Nov 2019
A novel method for identifying the deep neural network model with the Serial Number Xiangrui Xu Yaqin Li Cao Yuan AAML 41 8 0 19 Nov 2019
ImmuNeCS: Neural Committee Search by an Artificial Immune System L. Frachon Wei Pang George Macleod Coghill 37 9 0 18 Nov 2019
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation Junjie Liu Dongchao Wen Hongxing Gao Wei Tao Tse-Wei Chen Kinya Osa Masami Kato 81 21 0 13 Nov 2019
Collaborative Distillation for Top-N Recommendation Jae-woong Lee Minjin Choi Jongwuk Lee Hyunjung Shim 76 51 0 13 Nov 2019
NAT: Neural Architecture Transformer for Accurate and Compact Architectures Yong Guo Yin Zheng Mingkui Tan Qi Chen Jian Chen P. Zhao Junzhou Huang 159 85 0 31 Oct 2019
Distilling Pixel-Wise Feature Similarities for Semantic Segmentation Yuhu Shan 47 7 0 31 Oct 2019
MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept Localization Rongcheng Lin Jing Xiao Jianping Fan 21 4 0 27 Oct 2019
How can AI Automate End-to-End Data Science? Charu C. Aggarwal Djallel Bouneffouf Horst Samulowitz Beat Buesser T. Hoang ... Tejaswini Pedapati Parikshit Ram Ambrish Rawat Martin Wistuba Alexander G. Gray 170 14 0 22 Oct 2019
Training CNNs faster with Dynamic Input and Kernel Downsampling Zissis Poulos A. Nouri Andreas Moshovos 28 0 0 15 Oct 2019
Splitting Steepest Descent for Growing Neural Architectures Qiang Liu Lemeng Wu Dilin Wang 113 63 0 06 Oct 2019
AntMan: Sparse Low-Rank Compression to Accelerate RNN inference Samyam Rajbhandari H. Shrivastava J. Rho MQ 57 8 0 02 Oct 2019
Automated design of error-resilient and hardware-efficient deep neural networks Christoph Schorn T. Elsken Sebastian Vogel Armin Runge A. Guntoro G. Ascheid AAML 47 32 0 30 Sep 2019
Blessing of dimensionality at the edge I. Tyukin Alexander N. Gorban A. McEwan Sepehr Meshkinfamfard Lixin Tang 52 8 0 30 Sep 2019
Neural Architecture Search for Class-incremental Learning Shenyang Huang Vincent François-Lavet Guillaume Rabusseau CLL 46 16 0 14 Sep 2019
Efficient Continual Learning in Neural Networks with Embedding Regularization Jary Pomponi Simone Scardapane Vincenzo Lomonaco A. Uncini CLL 87 42 0 09 Sep 2019
LAMOL: LAnguage MOdeling for Lifelong Language Learning Fan-Keng Sun Cheng-Hao Ho Hung-yi Lee CLL KELM 97 213 0 07 Sep 2019
Rethinking the Number of Channels for the Convolutional Neural Network Hui Zhu Zhulin An Chuanguang Yang Xiaolong Hu Kaiqiang Xu Yongjun Xu OOD 38 3 0 04 Sep 2019
Unsupervised Deep Feature Transfer for Low Resolution Image Classification Yuanwei Wu Ziming Zhang Guanghui Wang 71 22 0 27 Aug 2019
Patient Knowledge Distillation for BERT Model Compression S. Sun Yu Cheng Zhe Gan Jingjing Liu 151 843 0 25 Aug 2019
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement Zhiqiang Shen Zhankui He Wanyun Cui Jiahui Yu Yutong Zheng Chenchen Zhu Marios Savvides AAML 36 5 0 22 Aug 2019
SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search Xiangxiang Chu Bo Zhang Qingyuan Li Ruijun Xu Xudong Li 86 24 0 16 Aug 2019
Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition Haoqian Wang Zhiwei Xu Jun Xu Wangpeng An Lei Zhang Qionghai Dai GAN 52 8 0 11 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 194 1,480 0 02 Aug 2019
Techniques for Automated Machine Learning Yi-Wei Chen Qingquan Song Helen Zhou 67 50 0 21 Jul 2019
Exploiting Prunability for Person Re-Identification Hugo Masson Amran Bhuiyan Le Thanh Nguyen-Meidine Mehrsan Javan P. Siva Ismail Ben Ayed Eric Granger 67 9 0 04 Jul 2019
NetTailor: Tuning the Architecture, Not Just the Weights Pedro Morgado Nuno Vasconcelos MQ 56 29 0 29 Jun 2019
Prune and Replace NAS Kevin Laube A. Zell 66 13 0 18 Jun 2019
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias Stéphane dÁscoli Levent Sagun Joan Bruna Giulio Biroli 95 37 0 16 Jun 2019
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks W. Wen Feng Yan Yiran Chen H. Li 83 40 0 07 Jun 2019
OpenEI: An Open Framework for Edge Intelligence Xingzhou Zhang Yifan Wang Sidi Lu Liangkai Liu Lanyu Xu Weisong Shi 82 101 0 05 Jun 2019
Deep Face Recognition Model Compression via Knowledge Transfer and Distillation J. Karlekar Jiashi Feng Zi Sian Wong Sugiri Pranata CVBM 43 13 0 03 Jun 2019
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 105 464 0 27 May 2019
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks Xiaoliang Dai Hongxu Yin N. Jha 88 32 0 27 May 2019
Network Pruning via Transformable Architecture Search Xuanyi Dong Yi Yang 3DPC 81 243 0 23 May 2019
EENA: Efficient Evolution of Neural Architecture Hui Zhu Zhulin An Chuanguang Yang Kaiqiang Xu Erhu Zhao Yongjun Xu 3DV 101 39 0 10 May 2019
A Survey on Neural Architecture Search Martin Wistuba Ambrish Rawat Tejaswini Pedapati AI4CE 103 259 0 04 May 2019
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding Xiaodong Liu Pengcheng He Weizhu Chen Jianfeng Gao FedML 92 183 0 20 Apr 2019
Language Models with Transformers Chenguang Wang Mu Li Alex Smola 100 122 0 20 Apr 2019
Intra-Ensemble in Neural Networks Yuan Gao Zixiang Cai Chen Sun FedML UQCV 47 5 0 09 Apr 2019
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search Linnan Wang Yiyang Zhao Yuu Jinnai Yuandong Tian Rodrigo Fonseca BDL 89 96 0 26 Mar 2019
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML Jie Zhang Junting Zhang Shalini Ghosh Dawei Li Jingwen Zhu Heming Zhang Yalin Wang CLL 27 2 0 20 Mar 2019
Universally Slimmable Networks and Improved Training Techniques Jiahui Yu Thomas Huang 99 389 0 12 Mar 2019