Search Results for author:
Found 2 papers, 0 papers with code
Game-theoretic Counterfactual Explanation for Graph Neural Networks
Our results reveals that computing Banzhaf values requires lower sample complexity in identifying the counterfactual explanations compared to other popular methods such as computing Shapley values.
Digits micro-model for accurate and secure transactions
Such light models can be trained perform well on number recognition specific tasks, competing with general models like Whisper or Google STT while using less than 80 minutes of training time and occupying at least an order of less memory resources.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
