Neural Networks

On the Approximation Power of Two-Layer Networks of Random ReLUs COLT 2021 Rethinking Graph Neural Architecture Search From Message-Passing CVPR 2021 Training deep residual networks for uniform approximation guarantees L4DC 2021 Training Spiking Neural Networks with Accumulated Spiking Flow AAAI 2021 Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks ICLR 2020 Biological credit assignment through dynamic inversion of feedforward networks NeurIPS 2020 Counterexample-Guided Learning of Monotonic Neural Networks NeurIPS 2020 Differential Equation Units: Learning Functional Forms of Activation Functions from Data AAAI 2020 Empirical Bounds on Linear Regions of Deep Rectifier Networks AAAI 2020 Kernel and Rich Regimes in Overparametrized Models COLT 2020 Lexicalization of Probabilistic Linear Context-free Rewriting Systems ACL 2020 Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons NeurIPS 2020 Span-Based LCFRS-2 Parsing ACL 2020 Statistical Deep Parsing for Spanish Using Neural Networks ACL 2020 Unfolding recurrence by Green’s functions for optimized reservoir computing NeurIPS 2020 An Attentive Memory Network Integrated with Aspect Dependency for Document-Level Multi-Aspect Sentiment Classification ACML 2019 Augmented Neural ODEs NeurIPS 2019 Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes NeurIPS 2019 Computer Assisted Annotation of Tension Development in TED Talks through Crowdsourcing EMNLP 2019 Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates ACML 2019 Towards Improving Neural Named Entity Recognition with Gazetteers ACL 2019 Neural Guided Constraint Logic Programming for Program Synthesis NeurIPS 2018 On the Relative Expressiveness of Bayesian and Neural Networks PGM 2018 Simplified Abugidas ACL 2018 Global Optimality in Neural Network Training CVPR 2017