The authors of the article investigate ‘Eureka-moments’ in transformers during multi-step tasks, where transformers quickly improve after training and validation loss have stagnated for a long time. They found that…
Continue readingThe article discusses SICNav, a method for safe and interactive crowd navigation for robots. The system uses Model Predictive Control (MPC) to predict and react to human movements, avoiding collisions….
Continue readingThis study proposes a method to improve optimization by coupling the gradients of private and public data via a weighted linear combination. It provides an optimal solution for the optimal…
Continue readingThis paper introduces a new dataset condensation framework called Squeeze, Recover, and Relabel (SRe2L). The framework decouples the bilevel optimization of model and synthetic data during training, allowing it to…
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