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Neural Networks

11,300 papers

Papers per year

Papers

Joint prediction of subjective listening effort and speech intelligibility based on end-to-end learning INTERSPEECH 2024
All Neural Low-latency Directional Speech Extraction INTERSPEECH 2024
Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting INTERSPEECH 2024
ED-sKWS: Early-Decision Spiking Neural Networks for Rapid, and Energy-Efficient Keyword Spotting INTERSPEECH 2024
DGSRN: Noise-Robust Speech Recognition Method with Dual-Path Gated Spectral Refinement Network INTERSPEECH 2024
SpeakerBeam-SS: Real-time Target Speaker Extraction with Lightweight Conv-TasNet and State Space Modeling INTERSPEECH 2024
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks JMLR 2024
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces JMLR 2024
Optimal Bump Functions for Shallow ReLU networks: Weight Decay, Depth Separation, Curse of Dimensionality JMLR 2024
Deep Network Approximation: Beyond ReLU to Diverse Activation Functions JMLR 2024
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee JMLR 2024
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions JMLR 2024
ptwt - The PyTorch Wavelet Toolbox JMLR 2024
Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent JMLR 2024
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space JMLR 2024
Classification with Deep Neural Networks and Logistic Loss JMLR 2024
Fixed points of nonnegative neural networks JMLR 2024
Generalization and Stability of Interpolating Neural Networks with Minimal Width JMLR 2024
Simple Cycle Reservoirs are Universal JMLR 2024
Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks JMLR 2024
Volterra Neural Networks (VNNs) JMLR 2024
Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks JMLR 2024
Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks JMLR 2024
Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case JMLR 2024
Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective JMLR 2024