Neural Networks

On Nonlinear Spatial Filtering in Multichannel Speech Enhancement Interspeech 2019 On Retrospecting Human Dynamics with Attention IJCAI 2019 On Self Modulation for Generative Adversarial Networks ICLR 2019 On the Connection Between Learning Two-Layer Neural Networks and Tensor Decomposition AISTATS 2019 On the Convergence Rate of Training Recurrent Neural Networks NeurIPS 2019 On the Expressive Power of Deep Polynomial Neural Networks NeurIPS 2019 On the Merits of Joint Space and Orientation Representations in Learning the Forward Kinematics in SE(3) RSS 2019 On the Power and Limitations of Random Features for Understanding Neural Networks NeurIPS 2019 On the Realization of Compositionality in Neural Networks ACL 2019 On the Robustness of Self-Attentive Models ACL 2019 On the Spectral Bias of Neural Networks ICML 2019 On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions CVPR 2019 On the Turing Completeness of Modern Neural Network Architectures ICLR 2019 On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks ICLR 2019 On the Universality of Invariant Networks ICML 2019 OpenKiwi: An Open Source Framework for Quality Estimation ACL 2019 Open-Vocabulary Keyword Spotting with Audio and Text Embeddings Interspeech 2019 OperatorNet: Recovering 3D Shapes From Difference Operators ICCV 2019 Opinion Mining with Deep Contextualized Embeddings NAACL 2019 Optimal Auctions through Deep Learning ICML 2019 Optimal Control Via Neural Networks: A Convex Approach ICLR 2019 Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning ICML 2019 Optimization of False Acceptance/Rejection Rates and Decision Threshold for End-to-End Text-Dependent Speaker Verification Systems Interspeech 2019 Optimizing a Speaker Embedding Extractor Through Backend-Driven Regularization Interspeech 2019 Ordered Memory NeurIPS 2019