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BDAI重点实验室研究生沙龙第27期:Balanced Multimodal Learning via On-the-fly Gradient Modulation
日期:2022-05-10访问量:

大数据管理与分析方法研究北京市重点实验室(BDAI)研究生沙龙由beat365体育亚洲官网在线下载师生组织定期举行。5月11日研讨会由胡迪老师指导的学生卫雅珂介绍自己的研究工作。欢迎同学们积极参与研讨!

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报告标题:Balanced Multimodal Learning via On-the-fly Gradient Modulation

报告人:卫雅珂,直博一年级

导师:胡迪

研究方向:多模态学习

报告摘要:Multimodal learning helps to comprehensively understand the world, by integrating different senses. Accordingly, multiple input modalities are expected to boost model performance, but we actually find that they are not fully exploited even when the multi-modal model outperforms its uni-modal counterpart. Specifically, in this paper we point out that existing audio-visual discriminative models, in which uniform objective is designed for all modalities, could remain under-optimized uni-modal representations, caused by another dominated modality in some scenarios, e.g., sound in blowing wind event, vision in drawing picture event, etc. To alleviate this optimization imbalance, we propose on-the-fly gradient modulation to adaptively control the optimization of each modality, via monitoring the discrepancy of their contribution towards the learning objective. Further, an extra Gaussian noise that changes dynamically is introduced to avoid possible generalization drop caused by gradient modulation. As a result, we achieve considerable improvement over common fusion methods on different audio-visual tasks, and this simple strategy can also boost existing multi-modal methods, which illustrates its efficacy and versatility.

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