95 citations · 124 across the 3 of their papers we have counts for
3 papers
An Instance-Dependent Simulation Framework for Learning with Label Noise
Keren Gu, Xander Masotto, Vandana Bachani +3
We propose a simulation framework for generating instance-dependent noisy labels via a pseudo-labeling paradigm. We show that the distribution of the synthetic noisy labels generat…
Using Videos to Evaluate Image Model Robustness
Keren Gu, Brandon Yang, Jiquan Ngiam +2
Human visual systems are robust to a wide range of image transformations that are challenging for artificial networks. We present the first study of image model robustness to the m…
Efficient Model Learning for Human-Robot Collaborative Tasks
Stefanos Nikolaidis, Keren Gu, Ramya Ramakrishnan +1
We present a framework for learning human user models from joint-action demonstrations that enables the robot to compute a robust policy for a collaborative task with a human. The…