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Found 6 papers, 3 papers with code
Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis
There is a pressing need to address relevant social concerns to allow for the development of systems of intelligent agents that are informed and cognizant of ethical standards.
Differentiable Greedy Networks
Optimal selection of a subset of items from a given set is a hard problem that requires combinatorial optimization.
Deep Recurrent NMF for Speech Separation by Unfolding Iterative Thresholding
This interpretability also provides principled initializations that enable faster training and convergence to better solutions compared to conventional random initialization.
Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery
Recurrent neural networks (RNNs) are powerful and effective for processing sequential data.
Full-Capacity Unitary Recurrent Neural Networks
To address this question, we propose full-capacity uRNNs that optimize their recurrence matrix over all unitary matrices, leading to significantly improved performance over uRNNs that use a restricted-capacity recurrence matrix.
Ranked #25 on
Sequential Image Classification
on Sequential MNIST
Open-Ended Question Answering
Sequential Image Classification
Enhancement and Recognition of Reverberant and Noisy Speech by Extending Its Coherence
Our approach centers around using a single-channel minimum mean-square error log-spectral amplitude (MMSE-LSA) estimator proposed by Habets, which scales coefficients in a time-frequency domain to suppress noise and reverberation.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
