Towards Regression-Free Neural Networks for Diverse Compute Platforms

27 September 2022

Papers citing "Towards Regression-Free Neural Networks for Diverse Compute Platforms"

33 / 33 papers shown

Title
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run Bichen Wu Chaojian Li Hang Zhang Xiaoliang Dai Peizhao Zhang Matthew Yu Jialiang Wang Yingyan Lin Peter Vajda ViT 114 24 0 19 Nov 2021
Compatibility-aware Heterogeneous Visual Search Rahul Duggal Hao Zhou Shuo Yang Yuanjun Xiong Wei Xia Zhuowen Tu Stefano Soatto 82 24 0 13 May 2021
AlphaNet: Improved Training of Supernets with Alpha-Divergence Dilin Wang Chengyue Gong Meng Li Qiang Liu Vikas Chandra 207 45 0 16 Feb 2021
Positive-Congruent Training: Towards Regression-Free Model Updates Sijie Yan Yuanjun Xiong Kaustav Kundu Shuo Yang Siqi Deng Meng Wang Wei Xia Stefano Soatto BDL 69 53 0 18 Nov 2020
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling Dilin Wang Meng Li Chengyue Gong Vikas Chandra 72 103 0 18 Nov 2020
An Empirical Analysis of Backward Compatibility in Machine Learning Systems Megha Srivastava Besmira Nushi Ece Kamar S. Shah Eric Horvitz AAML 88 47 0 11 Aug 2020
ELF: An Early-Exiting Framework for Long-Tailed Classification Rahul Duggal Scott Freitas Sunny Dhamnani Duen Horng Chau Jimeng Sun 71 30 0 22 Jun 2020
Designing Network Design Spaces Ilija Radosavovic Raj Prateek Kosaraju Ross B. Girshick Kaiming He Piotr Dollár GNN 102 1,693 0 30 Mar 2020
Towards Backward-Compatible Representation Learning Yantao Shen Yuanjun Xiong Wei Xia Stefano Soatto 69 81 0 26 Mar 2020
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models Jiahui Yu Pengchong Jin Hanxiao Liu Gabriel Bender Pieter-Jan Kindermans Mingxing Tan Thomas Huang Xiaodan Song Ruoming Pang Quoc V. Le 86 304 0 24 Mar 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild Rahul Duggal Scott Freitas Cao Xiao Duen Horng Chau Jimeng Sun 112 22 0 29 Jan 2020
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search Xiangxiang Chu Tianbao Zhou Bo Zhang Jixiang Li 59 310 0 27 Nov 2019
CUP: Cluster Pruning for Compressing Deep Neural Networks Rahul Duggal Cao Xiao R. Vuduc Jimeng Sun 3DPC VLM 48 23 0 19 Nov 2019
Once-for-All: Train One Network and Specialize it for Efficient Deployment Han Cai Chuang Gan Tianzhe Wang Zhekai Zhang Song Han OOD 113 1,283 0 26 Aug 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 102 1,259 0 30 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 164 18,193 0 28 May 2019
Single Path One-Shot Neural Architecture Search with Uniform Sampling Zichao Guo Xiangyu Zhang Haoyuan Mu Wen Heng Zechun Liu Yichen Wei Jian Sun 106 940 0 31 Mar 2019
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 128 3,015 0 31 Jul 2018
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 87 1,160 0 25 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 206 4,368 0 24 Jun 2018
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search Masanori Suganuma Mete Ozay Takayuki Okatani 122 87 0 01 Mar 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 203 2,899 0 21 Feb 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport Kirthevasan Kandasamy Willie Neiswanger J. Schneider Barnabás Póczós Eric Xing 82 609 0 11 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 117 2,766 0 09 Feb 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 177 3,036 0 05 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 105 1,145 0 30 Jan 2018
Hierarchical Representations for Efficient Architecture Search Hanxiao Liu Karen Simonyan Oriol Vinyals Chrisantha Fernando Koray Kavukcuoglu 3DV 98 928 0 01 Nov 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 131 2,738 0 26 Jun 2017
Genetic CNN Lingxi Xie Alan Yuille 3DV 129 845 0 04 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 135 1,642 0 03 Mar 2017
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 374 7,572 0 02 Dec 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 478 5,381 0 05 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 308 4,432 0 29 Jun 2016