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Found 5 papers, 1 papers with code
Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning
Reinforcement learning (RL) is a powerful tool for finding optimal policies in sequential decision processes.
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision
Attribution algorithms are frequently employed to explain the decisions of neural network models.
On the Robustness of AlphaFold: A COVID-19 Case Study
To measure the robustness of the predicted structures, we utilize (i) the root-mean-square deviation (RMSD) and (ii) the Global Distance Test (GDT) similarity measure between the predicted structure of the original sequence and the structure of its adversarially perturbed version.
The Multimodal Driver Monitoring Database: A Naturalistic Corpus to Study Driver Attention
We use the Fi- Cap device that continuously tracks the head movement of the driver using fiducial markers, providing frame-based annotations to train head pose algorithms in naturalistic driving conditions.
