GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting

Author:

Bai Yimeng1ORCID,Zhang Yang1ORCID,Feng Fuli2ORCID,Lu Jing3ORCID,Zang Xiaoxue3ORCID,Lei Chenyi3ORCID,Song Yang3ORCID

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. University of Science and Technology of China & USTC Beijing Research Institute, Hefei, China

3. Kuaishou Technology, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

CCCD Key Lab of Ministry of Culture and Tourism

Publisher

ACM

Reference47 articles.

1. LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting

2. Two-Stage Constrained Actor-Critic for Short Video Recommendation

3. PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information

4. Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, and Andrew Rabinovich. 2018. GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. In Proceedings of the 35th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 80). PMLR, 794--803. https://proceedings.mlr.press/v80/chen18a.html

5. Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

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