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Deep Learning

1,397 papers

Papers per year

3
163
233
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Papers

Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020
Residual Continual Learning AAAI 2020
New Efficient Multi-Spike Learning for Fast Processing and Robust Learning AAAI 2020
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators AAAI 2020
Adversarial Dynamic Shapelet Networks AAAI 2020
The HSIC Bottleneck: Deep Learning without Back-Propagation AAAI 2020
Particle Filter Recurrent Neural Networks AAAI 2020
Deep Embedded Non-Redundant Clustering AAAI 2020
Uncertainty-Aware Deep Classifiers Using Generative Models AAAI 2020
Universal Adversarial Training AAAI 2020
Hierarchically Clustered Representation Learning AAAI 2020
New Interpretations of Normalization Methods in Deep Learning AAAI 2020
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values AAAI 2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks AAAI 2020
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020
Regional Tree Regularization for Interpretability in Deep Neural Networks AAAI 2020
Local Regularizer Improves Generalization AAAI 2020
COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment AAAI 2020
CASIE: Extracting Cybersecurity Event Information from Text AAAI 2020
Integrating Deep Learning with Logic Fusion for Information Extraction AAAI 2020
ScaleNet - Improve CNNs through Recursively Rescaling Objects AAAI 2020
Self-Attention ConvLSTM for Spatiotemporal Prediction AAAI 2020
Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization AAAI 2020
Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory AAAI 2020
Hybrid Approaches to Fine-Grained Emotion Detection in Social Media Data AAAI 2020