Automated Deep Learning: Neural Architecture Search Is Not the End

16 December 2021

Bogdan Gabrys

Papers citing "Automated Deep Learning: Neural Architecture Search Is Not the End"

50 / 182 papers shown

Title
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation Chenxi Liu Liang-Chieh Chen Florian Schroff Hartwig Adam Wei Hua Alan Yuille Li Fei-Fei SSeg 86 976 0 10 Jan 2019
SNAS: Stochastic Neural Architecture Search Sirui Xie Hehui Zheng Chunxiao Liu Liang Lin 52 932 0 24 Dec 2018
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search Bichen Wu Xiaoliang Dai Peizhao Zhang Yanghan Wang Fei Sun Yiming Wu Yuandong Tian Peter Vajda Yangqing Jia Kurt Keutzer MQ 78 1,297 0 09 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 67 1,865 0 02 Dec 2018
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search Bichen Wu Yanghan Wang Peizhao Zhang Yuandong Tian Peter Vajda Kurt Keutzer MQ 56 272 0 30 Nov 2018
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 95 876 0 21 Nov 2018
Truncated Back-propagation for Bilevel Optimization Amirreza Shaban Ching-An Cheng Nathan Hatch Byron Boots 77 265 0 25 Oct 2018
Practical Design Space Exploration Luigi Nardi D. Koeplinger K. Olukotun 19 86 0 11 Oct 2018
Neural Architecture Optimization Renqian Luo Fei Tian Tao Qin Enhong Chen Tie-Yan Liu 3DV 58 651 0 22 Aug 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew G. Howard Quoc V. Le MQ 83 2,995 0 31 Jul 2018
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search Arber Zela Aaron Klein Stefan Falkner Frank Hutter 46 159 0 18 Jul 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 144 1,077 0 04 Jul 2018
Auto-Keras: An Efficient Neural Architecture Search System Haifeng Jin Qingquan Song Xia Hu 63 799 0 27 Jun 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 159 4,326 0 24 Jun 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 159 3,160 0 20 Jun 2018
Path-Level Network Transformation for Efficient Architecture Search Han Cai Jiacheng Yang Weinan Zhang Song Han Yong Yu 40 210 0 07 Jun 2018
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 89 324 0 24 May 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 116 518 0 09 Apr 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 119 1,419 0 24 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 162 3,433 0 09 Mar 2018
Memory-based Parameter Adaptation Pablo Sprechmann Siddhant M. Jayakumar Jack W. Rae Alexander Pritzel Adria Puigdomenech Badia Benigno Uria Oriol Vinyals Demis Hassabis Razvan Pascanu Charles Blundell ODL OOD VLM 48 101 0 28 Feb 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 114 2,854 0 21 Feb 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 76 226 0 13 Feb 2018
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning Tianqi Chen T. Moreau Ziheng Jiang Lianmin Zheng Eddie Q. Yan ... Leyuan Wang Yuwei Hu Luis Ceze Carlos Guestrin Arvind Krishnamurthy 121 374 0 12 Feb 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport Kirthevasan Kandasamy Willie Neiswanger J. Schneider Barnabás Póczós Eric Xing 60 603 0 11 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 71 2,755 0 09 Feb 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 81 3,922 0 06 Feb 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 123 3,009 0 05 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 129 19,124 0 13 Jan 2018
Progressive Neural Architecture Search Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Wei Hua Li Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Patrick Murphy 69 1,986 0 02 Dec 2017
Population Based Training of Neural Networks Max Jaderberg Valentin Dalibard Simon Osindero Wojciech M. Czarnecki Jeff Donahue ... Tim Green Iain Dunning Karen Simonyan Chrisantha Fernando Koray Kavukcuoglu 37 736 0 27 Nov 2017
Don't Decay the Learning Rate, Increase the Batch Size Samuel L. Smith Pieter-Jan Kindermans Chris Ying Quoc V. Le ODL 90 990 0 01 Nov 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks Andrew Brock Theodore Lim J. Ritchie Nick Weston 96 762 0 17 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 139 5,577 0 21 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 203 18,685 0 20 Jul 2017
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly Yongqin Xian Christoph H. Lampert Bernt Schiele Zeynep Akata VLM 119 1,554 0 03 Jul 2017
Device Placement Optimization with Reinforcement Learning Azalia Mirhoseini Hieu H. Pham Quoc V. Le Benoit Steiner Rasmus Larsen Yuefeng Zhou Naveen Kumar Mohammad Norouzi Samy Bengio J. Dean 48 438 0 13 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 430 129,831 0 12 Jun 2017
More is Less: A More Complicated Network with Less Inference Complexity Xuanyi Dong Junshi Huang Yi Yang Shuicheng Yan 37 288 0 25 Mar 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 298 27,018 0 20 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 207 8,072 0 15 Mar 2017
Online Learning Rate Adaptation with Hypergradient Descent A. G. Baydin R. Cornish David Martínez-Rubio Mark Schmidt Frank Wood ODL 46 245 0 14 Mar 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 65 1,523 0 10 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 754 11,793 0 09 Mar 2017
Learning Active Learning from Data Ksenia Konyushkova Raphael Sznitman Pascal Fua 28 301 0 09 Mar 2017
Large-Scale Evolution of Image Classifiers Esteban Real Sherry Moore Andrew Selle Saurabh Saxena Y. Suematsu Jie Tan Quoc V. Le Alexey Kurakin 88 1,631 0 03 Mar 2017
Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA Manuel Martin Salvador M. Budka Bogdan Gabrys TPM 29 25 0 28 Dec 2016
Spatially Adaptive Computation Time for Residual Networks Michael Figurnov Maxwell D. Collins Yukun Zhu Li Zhang Jonathan Huang Dmitry Vetrov Ruslan Salakhutdinov 41 346 0 07 Dec 2016
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 258 7,410 0 02 Dec 2016
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 64 974 0 17 Nov 2016