Cross-Task Knowledge Distillation in Multi-Task Recommendation

Cross-Task Knowledge Distillation in Multi-Task Recommendation

20 February 2022

Papers citing "Cross-Task Knowledge Distillation in Multi-Task Recommendation"

11 / 11 papers shown

Title
Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts Wenju Sun Qingyong Li Wen Wang Yangli-ao Geng Boyang Li 130 5 0 28 Jan 2025
Towards Understanding Knowledge Distillation Mary Phuong Christoph H. Lampert 58 314 0 27 May 2021
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective Helong Zhou Liangchen Song Jiajie Chen Ye Zhou Guoli Wang Junsong Yuan Qian Zhang 53 171 0 01 Feb 2021
Self-Distillation as Instance-Specific Label Smoothing Zhilu Zhang M. Sabuncu 56 118 0 09 Jun 2020
Understanding and Improving Knowledge Distillation Jiaxi Tang Rakesh Shivanna Zhe Zhao Dong Lin Anima Singh Ed H. Chi Sagar Jain 57 131 0 10 Feb 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 120 1,190 0 19 Jan 2020
Privileged Features Distillation at Taobao Recommendations Chen Xu Quan Li Junfeng Ge Jinyang Gao Xiaoyong Yang Changhua Pei Fei Sun Jian Wu Hanxiao Sun Wenwu Ou 30 67 0 11 Jul 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas Guibas Jitendra Malik Silvio Savarese 90 514 0 18 May 2019
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System Jiaxi Tang Ke Wang 48 186 0 19 Sep 2018
Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net Guorui Zhou Ying Fan Runpeng Cui Weijie Bian Xiaoqiang Zhu Kun Gai 53 116 0 14 Aug 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 387 2,196 0 25 Jul 2017