Changing Model Behavior at Test-Time Using Reinforcement Learning

24 February 2017

Papers citing "Changing Model Behavior at Test-Time Using Reinforcement Learning"

8 / 8 papers shown

Title
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE Florence Regol Joud Chataoui Bertrand Charpentier Mark J. Coates Pablo Piantanida Stephan Gunnemann 55 0 0 20 Jun 2024
AdaViT: Adaptive Tokens for Efficient Vision Transformer Hongxu Yin Arash Vahdat J. Álvarez Arun Mallya Jan Kautz Pavlo Molchanov ViT 35 320 0 14 Dec 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 150 678 0 24 Jan 2021
Fully Dynamic Inference with Deep Neural Networks Wenhan Xia Hongxu Yin Xiaoliang Dai N. Jha 3DH BDL 28 39 0 29 Jul 2020
Dynamic Channel Pruning: Feature Boosting and Suppression Xitong Gao Yiren Zhao L. Dudziak Robert D. Mullins Chengzhong Xu 42 311 0 12 Oct 2018
TreeSegNet: Adaptive Tree CNNs for Subdecimeter Aerial Image Segmentation Kai Yue Lei Yang Ruirui Li Wei Hu Fan Zhang Wei Li SSeg 24 4 0 29 Apr 2018
Dynamic Computational Time for Visual Attention Zhichao Li Yi Yang Xiao-Chang Liu Feng Zhou Shilei Wen Wenyuan Xu 41 113 0 30 Mar 2017
Multi-Scale Dense Networks for Resource Efficient Image Classification Gao Huang Danlu Chen Tianhong Li Felix Wu Laurens van der Maaten Kilian Q. Weinberger VLM 24 137 0 29 Mar 2017