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cs.LG2021
Gates Are Not What You Need in RNNs
Ronalds Zakovskis, Andis Draguns, Eliza Gaile +2
Recurrent neural networks have flourished in many areas. Consequently, we can see new RNN cells being developed continuously, usually by creating or using gates in a new, original…
cs.LG2021★ 16 cited
Goal-Aware Neural SAT Solver
Emils Ozolins, Karlis Freivalds, Andis Draguns +3
Modern neural networks obtain information about the problem and calculate the output solely from the input values. We argue that it is not always optimal, and the network's perform…