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Representation Learning

20,822 papers

Papers per year

2
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101
309
2011
2283
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Papers

Uncertainty on Asynchronous Time Event Prediction NIPS 2019
Sobolev Independence Criterion NIPS 2019
Neural Spline Flows NIPS 2019
Learning Hierarchical Priors in VAEs NIPS 2019
Adversarial Fisher Vectors for Unsupervised Representation Learning NIPS 2019
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods NIPS 2019
Approximate Feature Collisions in Neural Nets NIPS 2019
Coresets for Archetypal Analysis NIPS 2019
Infra-slow brain dynamics as a marker for cognitive function and decline NIPS 2019
Learnable Tree Filter for Structure-preserving Feature Transform NIPS 2019
Random Path Selection for Continual Learning NIPS 2019
On Single Source Robustness in Deep Fusion Models NIPS 2019
Putting An End to End-to-End: Gradient-Isolated Learning of Representations NIPS 2019
Continual Unsupervised Representation Learning NIPS 2019
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel NIPS 2019
Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation NIPS 2019
Hierarchical Optimal Transport for Document Representation NIPS 2019
Curvilinear Distance Metric Learning NIPS 2019
Heterogeneous Graph Learning for Visual Commonsense Reasoning NIPS 2019
Solving graph compression via optimal transport NIPS 2019
Markov Random Fields for Collaborative Filtering NIPS 2019
Structured Graph Learning Via Laplacian Spectral Constraints NIPS 2019
On Robustness of Principal Component Regression NIPS 2019
Bayesian Joint Estimation of Multiple Graphical Models NIPS 2019
Dimensionality reduction: theoretical perspective on practical measures NIPS 2019