Nov 15, 2020 · This work aims to study several key questions related to multimodal learning through the lens of adversarial noises: 1) The trade-off between ...

Using adversarial noise to ablate multimodal models, we are able to provide insights into what is the best potential fusion strategy to balance the model.

Using adversarial noise to ablate multimodal models, we are able to provide insights into what is the best potential fusion strategy to balance the model ...

Using adversarial noise to ablate multimodal models is able to provide insights into what is the best potential fusion strategy to balance the model ...

This work aims to study several key issues related to multimodal learning through the lens of adversarial noises: 1) The trade-off between early/late fusion in ...

This work aims to study several key questions related to multimodal learning through the lens of adversarial noises: 1) The trade-off between early/middle/late ...

This work aims to study several key questions related to multimodal learning through the lens of adversarial noises: 1) The trade-off between early/middle/late ...

As audio/visual classification models are widely deployed for sensitive taskslike content filtering at scale, it is critical to understand their ...

Nov 14, 2020 · As audio/visual classification models are widely deployed for sensitive tasks like content filtering at scale, it is critical to understand ...

On Adversarial Robustness of Large-scale Audio Visual Learning ... (Audio-Visual Event Recognition through the lens of Adversary). TL;DR: Watch ...