← Learning Types
Deep Learning › Learning Types ›

Deep Learning

1752 directly classified papers

Papers per year

Papers

When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach IJCAI 2018
Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition IJCAI 2018
Image-level to Pixel-wise Labeling: From Theory to Practice IJCAI 2018
Ensemble Soft-Margin Softmax Loss for Image Classification IJCAI 2018
Densely Cascaded Shadow Detection Network via Deeply Supervised Parallel Fusion IJCAI 2018
Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method IJCAI 2018
Modern Neural Networks Generalize on Small Data Sets NIPS 2018
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching NIPS 2018
Evidential Deep Learning to Quantify Classification Uncertainty NIPS 2018
Neural Architecture Optimization NIPS 2018
Trajectory Convolution for Action Recognition NIPS 2018
A Deep Learning Based Approach to Transliteration ACL 2018
RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs ACML 2018
End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching ACML 2018
Identifying Risk Factors For Heart Disease in Electronic Medical Records: A Deep Learning Approach ACL 2018
Improving Neural Program Synthesis with Inferred Execution Traces NIPS 2018
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures NIPS 2018
Regularization Learning Networks: Deep Learning for Tabular Datasets NIPS 2018
Out-of-Distribution Detection using Multiple Semantic Label Representations NIPS 2018
Dendritic cortical microcircuits approximate the backpropagation algorithm NIPS 2018
Gradient Descent for Spiking Neural Networks NIPS 2018
Spline Filters For End-to-End Deep Learning ICML 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression ICML 2018
Generating Topic-Oriented Summaries Using Neural Attention NAACL 2018
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference NAACL 2018