2 citations · 2 across the 4 of their papers we have counts for
3 papers · 1 filter
SAGG: Sample-Adaptive Gradient Gating for Robust Multimodal Learning under Heterogeneous Corruption
Wentao Zhang, Yifan Zhu, Yutong Zhang +1
Multimodal gradient balancing methods modulate encoder gradients with a shared scalar per modality, implicitly assuming that corruption is uniform across the training batch. In pra…
Continual Learning as Computationally Constrained Reinforcement Learning
Saurabh Kumar, Henrik Marklund, Ashish Rao +4
An agent that efficiently accumulates knowledge to develop increasingly sophisticated skills over a long lifetime could advance the frontier of artificial intelligence capabilities…
Is Stochastic Gradient Descent Near Optimal?
Yifan Zhu, Hong Jun Jeon, Benjamin Van Roy
The success of neural networks over the past decade has established them as effective models for many relevant data generating processes. Statistical theory on neural networks indi…