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Neural Networks

11,300 papers

Papers per year

Papers

Approximation and non-parametric estimation of ResNet-type convolutional neural networks ICML 2019
Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians ICML 2019
On the Spectral Bias of Neural Networks ICML 2019
HyperGAN: A Generative Model for Diverse, Performant Neural Networks ICML 2019
Efficient On-Device Models using Neural Projections ICML 2019
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension ICML 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks ICML 2019
Adaptive Neural Trees ICML 2019
Distributed, Egocentric Representations of Graphs for Detecting Critical Structures ICML 2019
Understanding Priors in Bayesian Neural Networks at the Unit Level ICML 2019
State-Regularized Recurrent Neural Networks ICML 2019
Learning to Prove Theorems via Interacting with Proof Assistants ICML 2019
LegoNet: Efficient Convolutional Neural Networks with Lego Filters ICML 2019
Understanding Geometry of Encoder-Decoder CNNs ICML 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning ICML 2019
Learning Neurosymbolic Generative Models via Program Synthesis ICML 2019
Global Convergence of Block Coordinate Descent in Deep Learning ICML 2019
Making Convolutional Networks Shift-Invariant Again ICML 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting ICML 2019
Toward Understanding the Importance of Noise in Training Neural Networks ICML 2019
BayesNAS: A Bayesian Approach for Neural Architecture Search ICML 2019
Neural Networks for Predicting Human Interactions in Repeated Games IJCAI 2019
Structure-Aware Residual Pyramid Network for Monocular Depth Estimation IJCAI 2019
On Retrospecting Human Dynamics with Attention IJCAI 2019
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention IJCAI 2019