Distilled Neural Networks for Efficient Learning to Rank

22 February 2022

Papers citing "Distilled Neural Networks for Efficient Learning to Rank"

7 / 7 papers shown

Title
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation Lirong Wu Haitao Lin Zhangyang Gao Guojiang Zhao Stan Z. Li 38 8 0 06 Mar 2024
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation Vincenzo Paparella V. W. Anelli F. M. Nardini R. Perego T. D. Noia 16 8 0 21 Jun 2023
Neural Network Compression using Binarization and Few Full-Precision Weights F. M. Nardini Cosimo Rulli Salvatore Trani Rossano Venturini MQ 19 1 0 15 Jun 2023
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition Chuanguang Yang Zhulin An Helong Zhou Fuzhen Zhuang Yongjun Xu Qian Zhang 31 50 0 23 Jul 2022
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 239 643 0 21 Apr 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,561 0 17 Apr 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 311 1,047 0 10 Feb 2017