5 citations · 10 across the 9 of their papers we have counts for
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cs.CV2024★ 2 cited
Diagnosing and Re-learning for Balanced Multimodal Learning
Yake Wei, Siwei Li, Ruoxuan Feng +1
To overcome the imbalanced multimodal learning problem, where models prefer the training of specific modalities, existing methods propose to control the training of uni-modal encod…
cs.CV2023
Enhancing multimodal cooperation via sample-level modality valuation
Yake Wei, Ruoxuan Feng, Zihe Wang +1
One primary topic of multimodal learning is to jointly incorporate heterogeneous information from different modalities. However most models often suffer from unsatisfactory multimo…
cs.CV2023★ 5 cited
Revisiting Pre-training in Audio-Visual Learning
Ruoxuan Feng, Wenke Xia, Di Hu
Pre-training technique has gained tremendous success in enhancing model performance on various tasks, but found to perform worse than training from scratch in some uni-modal situat…