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Neural Networks

79 papers

Papers per year

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Papers

SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries CVPR 2023
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data ICML 2023
Size and depth of monotone neural networks: interpolation and approximation NIPS 2022
A Combinatorial Perspective on the Optimization of Shallow ReLU Networks NIPS 2022
Towards Understanding the Mixture-of-Experts Layer in Deep Learning NIPS 2022
Kernel Memory Networks: A Unifying Framework for Memory Modeling NIPS 2022
PrivateSNN: Privacy-Preserving Spiking Neural Networks AAAI 2022
DANets: Deep Abstract Networks for Tabular Data Classification and Regression AAAI 2022
Dense Depth Priors for Neural Radiance Fields From Sparse Input Views CVPR 2022
ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models JMLR 2022
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks NIPS 2021
Training Spiking Neural Networks with Accumulated Spiking Flow AAAI 2021
Rethinking Graph Neural Architecture Search From Message-Passing CVPR 2021
Training deep residual networks for uniform approximation guarantees L4DC 2021
Automatic Detection and Prediction of Psychiatric Hospitalizations From Social Media Posts NAACL 2021
Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons NIPS 2020
Biological credit assignment through dynamic inversion of feedforward networks NIPS 2020
Counterexample-Guided Learning of Monotonic Neural Networks NIPS 2020
Unfolding recurrence by Green’s functions for optimized reservoir computing NIPS 2020
Empirical Bounds on Linear Regions of Deep Rectifier Networks AAAI 2020
Differential Equation Units: Learning Functional Forms of Activation Functions from Data AAAI 2020
Lexicalization of Probabilistic Linear Context-free Rewriting Systems ACL 2020
Span-Based LCFRS-2 Parsing ACL 2020
Statistical Deep Parsing for Spanish Using Neural Networks ACL 2020
Augmented Neural ODEs NIPS 2019