Distillation from Heterogeneous Models for Top-K Recommendation

Distillation from Heterogeneous Models for Top-K Recommendation

2 March 2023

Xing Xie

Papers citing "Distillation from Heterogeneous Models for Top-K Recommendation"

7 / 7 papers shown

Title
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation Mingfu Liang Xi Liu Rong Jin B. Liu Qiuling Suo ... Bo Long Wenlin Chen Rocky Liu Santanu Kolay Hao Li 46 1 0 20 Feb 2025
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation Shuyuan Zhao Wei Chen Boyan Shi Liyong Zhou Shuohao Lin Huaiyu Wan 83 0 0 21 Dec 2024
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random Wonbin Kweon Hwanjo Yu 34 13 0 26 Feb 2024
Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model Zichang Liu Qingyun Liu Yuening Li Liang Liu Anshumali Shrivastava Shuchao Bi Lichan Hong Ed H. Chi Zhe Zhao VLM 28 4 0 21 Feb 2024
AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems Ruixuan Liu Ming Hu Zeke Xia Jun Xia Peng Zhang Yihao Huang Yang Liu Mingsong Chen FedML 29 6 0 23 Nov 2023
MvFS: Multi-view Feature Selection for Recommender System Youngjune Lee Yeongjong Jeong Keunchan Park SeongKu Kang 30 12 0 05 Sep 2023
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 192 473 0 12 Jun 2018