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Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs. (arXiv:2206.04674v1 [cs.CV])
June 10, 2022, 1:12 a.m. | Jinguo Zhu, Xizhou Zhu, Wenhai Wang, Xiaohua Wang, Hongsheng Li, Xiaogang Wang, Jifeng Dai
cs.CV updates on arXiv.org arxiv.org
To build an artificial neural network like the biological intelligence
system, recent works have unified numerous tasks into a generalist model, which
can process various tasks with shared parameters and do not have any
task-specific modules. While generalist models achieve promising results on
various benchmarks, they have performance degradation on some tasks compared
with task-specialized models. In this work, we find that interference among
different tasks and modalities is the main factor to this phenomenon. To
mitigate such interference, we …
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