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Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning
We show that our zapping procedure results in improved transfer accuracy and/or more rapid adaptation in both standard fine-tuning and continual learning settings, while being simple to implement and computationally efficient.
Beelines: Motion Prediction Metrics for Self-Driving Safety and Comfort
The commonly used metrics for motion prediction do not correlate well with a self-driving vehicle's system-level performance.
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