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.

ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning

1 code implementation • NeurIPS 2023 • Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Liu Dapeng, Jie Jiang, Mingsheng Long

Auxiliary-Task Learning (ATL) aims to improve the performance of the target task by leveraging the knowledge obtained from related tasks.

Debiased Self-Training for Semi-Supervised Learning

1 code implementation • 15 Feb 2022 • Baixu Chen, Junguang Jiang, Ximei Wang, Pengfei Wan, Jianmin Wang, Mingsheng Long

Yet these datasets are time-consuming and labor-exhaustive to obtain on realistic tasks.

Object Recognition Scene Classification +2

Decoupled Adaptation for Cross-Domain Object Detection

2 code implementations • ICLR 2022 • Junguang Jiang, Baixu Chen, Jianmin Wang, Mingsheng Long

Besides, previous methods focused on category adaptation but ignored another important part for object detection, i. e., the adaptation on bounding box regression.

Domain Adaptation Object +3