Tolga Dimlioglu
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Data Scaling Laws for End-to-End Autonomous Driving Open
Autonomous vehicle (AV) stacks have traditionally relied on decomposed approaches, with separate modules handling perception, prediction, and planning. However, this design introduces information loss during inter-module communication, inc…
GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models Open
We study distributed training of deep learning models in time-constrained environments. We propose a new algorithm that periodically pulls workers towards the center variable computed as a weighted average of workers, where the weights are…
Continual Facial Expression Recognition: A Benchmark Open
Understanding human affective behaviour, especially in the dynamics of real-world settings, requires Facial Expression Recognition (FER) models to continuously adapt to individual differences in user expression, contextual attributions, an…