22k citations · 25.4k across the 24 of their papers we have counts for
4 papers · 1 filter
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting
Zhao Chen, Vincent Casser, Henrik Kretzschmar +1
We propose GradTail, an algorithm that uses gradients to improve model performance on the fly in the face of long-tailed training data distributions. Unlike conventional long-tail…
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
Zhao Chen, Jiquan Ngiam, Yanping Huang +4
The vast majority of deep models use multiple gradient signals, typically corresponding to a sum of multiple loss terms, to update a shared set of trainable weights. However, these…
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Yuning Chai, Benjamin Sapp, Mayank Bansal +1
Predicting human behavior is a difficult and crucial task required for motion planning. It is challenging in large part due to the highly uncertain and multi-modal set of possible…
Learning Hierarchical Object Maps Of Non-Stationary Environments with mobile robots
Dragomir Anguelov, Rahul Biswas, Daphne Koller +2
Building models, or maps, of robot environments is a highly active research area; however, most existing techniques construct unstructured maps and assume static environments. In t…