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Neural Networks

11,723 papers

Papers per year

25
148
1385
860
'10
'15
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'25

Papers

DCTCN:Deep Complex Temporal Convolutional Network for Long Time Speech Enhancement INTERSPEECH 2022
Integrating Discrete Word-Level Style Variations into Non-Autoregressive Acoustic Models for Speech Synthesis INTERSPEECH 2022
Deep Learning in Target Space JMLR 2022
Universal Approximation in Dropout Neural Networks JMLR 2022
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks JMLR 2022
Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis JMLR 2022
Are All Layers Created Equal? JMLR 2022
Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters JMLR 2022
Globally Injective ReLU Networks JMLR 2022
Advantage of Deep Neural Networks for Estimating Functions with Singularity on Hypersurfaces JMLR 2022
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction JMLR 2022
A spectral-based analysis of the separation between two-layer neural networks and linear methods JMLR 2022
Depth separation beyond radial functions JMLR 2022
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations JMLR 2022
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks JMLR 2022
Reverse-mode differentiation in arbitrary tensor network format: with application to supervised learning JMLR 2022
A Momentumized, Adaptive, Dual Averaged Gradient Method JMLR 2022
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks JMLR 2022
A Primer for Neural Arithmetic Logic Modules JMLR 2022
A Bregman Learning Framework for Sparse Neural Networks JMLR 2022
Universal Approximation Theorems for Differentiable Geometric Deep Learning JMLR 2022
tntorch: Tensor Network Learning with PyTorch JMLR 2022
Multi-Task Dynamical Systems JMLR 2022
Quantile regression with ReLU Networks: Estimators and minimax rates JMLR 2022
A proof of convergence for the gradient descent optimization method with random initializations in the training of neural networks with ReLU activation for piecewise linear target functions JMLR 2022