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Multi-task learning (MTL) has gained significant popularity in recommender systems as it enables simultaneous optimization of multiple objectives.
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
Ma, J.; Zhao, Z.; Yi, X.; Chen, J.; Hong, L.; and Chi, E. H. 2018a · 1939
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Multitask learning
Caruana, R. 1997 · 1997
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Factorization machines
Rendle, S. 2010 · 2010
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Transfer Learning via Advice Taking
Torrey, L.; Shavlik, J. W.; Walker, T.; and Maclin, R. 2010 · 2010
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Adam: A Method for Stochastic Optimization
Kingma, D. P.; and Ba, J. 2015 · 2015
Earlier work this paper cites.
Cross-Stitch Networks for Multi-task Learning
Misra, I.; Shrivastava, A.; Gupta, A.; and Hebert, M. 2016 · 2016
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Neural factorization machines for sparse predictive analytics
He, X.; and Chua, T.-S. 2017 · 2017
Earlier work this paper cites.
Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks
Chen, Z.; Badrinarayanan, V.; Lee, C.-Y.; and Rabinovich, A. 2018 · 2018
Earlier work this paper cites.
Field-weighted factorization machines for click-through rate prediction in display advertising
Pan, J.; Xu, J.; Ruiz, A. L.; Zhao, W.; Pan, S.; Sun, Y.; and Lu, Q. 2018 · 2018
Earlier work this paper cites.
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning
Ma, J.; Zhao, Z.; Chen, J.; Li, A.; Hong, L.; and Chi, E. H. 2019 · 2019
Cited alongside, same era.
Predicting different types of conversions with multi-task learning in online advertising
Pan, J.; Mao, Y.; Ruiz, A. L.; Sun, Y.; and Flores, A. 2019 · 2019
Cited alongside, same era.
Multitask mixture of sequential experts for user activity streams
Qin, Z.; Cheng, Y.; Zhao, Z.; Chen, Z.; Metzler, D.; and Qin, J. 2020 · 2020
Cited alongside, same era.
Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations
Tang, H.; Liu, J.; Zhao, M.; and Gong, X. 2020 · 2020
Cited alongside, same era.
Gradient Surgery for Multi-Task Learning
Yu, T.; Kumar, S.; Gupta, A.; Levine, S.; Hausman, K.; and Finn, C. 2020 · 2020
Cited alongside, same era.
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks
He, Y.; Feng, X.; Cheng, C.; Ji, G.; Guo, Y.; and Caverlee, J. 2022 · 2022
Later among the works it cites.
A Multi-task Learning Framework for Product Ranking with BERT
Wu, X.; Magnani, A.; Chaidaroon, S.; Puthenputhussery, A.; Liao, C.; and Fang, Y. 2022 · 2022
Later among the works it cites.
Prototype Feature Extraction for Multi-task Learning
Xin, S.; Jiao, Y.; Long, C.; Wang, Y.; Wang, X.; Yang, S.; Liu, J.; and Zhang, J. 2022 · 2022
Later among the works it cites.
Cross-Task Knowledge Distillation in Multi-Task Recommendation
Yang, C.; Pan, J.; Gao, X.; Jiang, T.; Liu, D.; and Chen, G. 2022 · 2022
Later among the works it cites.
Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems
Yuan, G.; Yuan, F.; Li, Y.; Kong, B.; Li, S.; Chen, L.; Yang, M.; Yu, C.; Hu, B.; Li, Z.; Xu, Y.; and Qie, X. 2022 · 2022
Later among the works it cites.
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Fei, H.; Zhang, J.; Zhou, X.; Zhao, J.; Qi, X.; and Li, P. 2021 · 2021
Cited alongside, same era.
Dselect-k: Differentiable selection in the mixture of experts with applications to multi-task learning
Hazimeh, H.; Zhao, Z.; Chowdhery, A.; Sathiamoorthy, M.; Chen, Y.; Mazumder, R.; Hong, L.; and Chi, E. 2021 · 2021
Cited alongside, same era.
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising
Xi, D.; Chen, Z.; Yan, P.; Zhang, Y.; Zhu, Y.; Zhuang, F.; and Chen, Y. 2021 · 2021
Cited alongside, same era.
A Contrastive Sharing Model for Multi-Task Recommendation
Bai, T.; Xiao, Y.; Wu, B.; Yang, G.; Yu, H.; and Nie, J. 2022 · 2022
Cited alongside, same era.
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
Ma, X.; Zhao, L.; Huang, G.; Wang, Z.; Hu, Z.; Zhu, X.; and Gai, K. 2018b
Cited in the paper.
PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information
Chang, J.; Zhang, C.; Hui, Y.; Leng, D.; Niu, Y.; Song, Y.; and Gai, K. 2023 · 2023
Closest in time.
Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation
Liu, X.; Jia, Q.; Wu, C.; Li, J.; Quanyu, D.; Bo, L.; Zhang, R.; and Tang, R. 2023 · 2023
Closest in time.
Adatask: A task-aware adaptive learning rate approach to multi-task learning
Yang, E.; Pan, J.; Wang, X.; Yu, H.; Shen, L.; Chen, X.; Xiao, L.; Jiang, J.; and Guo, G. 2023 · 2023
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