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Found 4 papers, 3 papers with code
Collision Avoidance Verification of Multiagent Systems with Learned Policies
We demonstrate the proposed algorithm can verify collision-free properties of a MA-NFL with agents trained to imitate a collision avoidance algorithm (Reciprocal Velocity Obstacles).
Hard Label Black Box Node Injection Attack on Graph Neural Networks
In this work, we will propose a non-targeted Hard Label Black Box Node Injection Attack on Graph Neural Networks, which to the best of our knowledge, is the first of its kind.
Detecting Corrupted Labels Without Training a Model to Predict
In this paper, from a more data-centric perspective, we propose a training-free solution to detect corrupted labels.
A Good Representation Detects Noisy Labels
In this paper, given good representations, we propose a universally applicable and training-free solution to detect noisy labels.
