Neural Network Retraining for Model Serving

29 April 2020

Papers citing "Neural Network Retraining for Model Serving"

8 / 8 papers shown

Title
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation Haoyang Li Yuecong Xu Junjie Chen Kemi Ding 3DPC CLL 89 0 0 02 Apr 2025
Deep $k$ -Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions Junru Wu Yue Wang Zhenyu Wu Zhangyang Wang Ashok Veeraraghavan Yingyan Lin 31 115 0 24 Jun 2018
FreezeOut: Accelerate Training by Progressively Freezing Layers Andrew Brock Theodore Lim J. Ritchie Nick Weston 34 123 0 15 Jun 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 134 2,854 0 14 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 258 7,410 0 02 Dec 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 241 4,357 0 29 Jun 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 189 8,793 0 01 Oct 2015
Thompson Sampling: An Asymptotically Optimal Finite Time Analysis E. Kaufmann N. Korda Rémi Munos 81 585 0 18 May 2012