On the Embedding Collapse when Scaling up Recommendation Models

no code implementations • 6 Oct 2023 • Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long

Recent advances in deep foundation models have led to a promising trend of developing large recommendation models to leverage vast amounts of available data.

Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning

no code implementations • 19 Sep 2023 • Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang

Multi-domain learning (MDL) aims to train a model with minimal average risk across multiple overlapping but non-identical domains.

Recommendation Systems

CLIPood: Generalizing CLIP to Out-of-Distributions

1 code implementation • 2 Feb 2023 • Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long

This paper aims at generalizing CLIP to out-of-distribution test data on downstream tasks.