conftrace_

Representation Learning

20,822 papers

Papers per year

2
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101
309
2011
2283
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Papers

Variational Autoencoders for Sparse and Overdispersed Discrete Data AISTATS 2020
Variational Autoencoders and Nonlinear ICA: A Unifying Framework AISTATS 2020
A Deep Generative Model for Fragment-Based Molecule Generation AISTATS 2020
Precision-Recall Curves Using Information Divergence Frontiers AISTATS 2020
Hyperbolic Manifold Regression AISTATS 2020
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures AISTATS 2020
Persistence Enhanced Graph Neural Network AISTATS 2020
Deterministic Decoding for Discrete Data in Variational Autoencoders AISTATS 2020
Variational Integrator Networks for Physically Structured Embeddings AISTATS 2020
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space AISTATS 2020
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes AISTATS 2020
Context Mover’s Distance & Barycenters: Optimal Transport of Contexts for Building Representations AISTATS 2020
Learning Ising and Potts Models with Latent Variables AISTATS 2020
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models AISTATS 2020
Multi-level Gaussian Graphical Models Conditional on Covariates AISTATS 2020
Invertible Generative Modeling using Linear Rational Splines AISTATS 2020
Prior-aware Composition Inference for Spectral Topic Models AISTATS 2020
Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes AISTATS 2020
Gaussianization Flows AISTATS 2020
Prediction Focused Topic Models via Feature Selection AISTATS 2020
On the Sample Complexity of Learning Sum-Product Networks AISTATS 2020
Exponentiated Gradient Meets Gradient Descent ALT 2020
A Graph Representation of Semi-structured Data for Web Question Answering COLING 2020
Catching Attention with Automatic Pull Quote Selection COLING 2020
A Symmetric Local Search Network for Emotion-Cause Pair Extraction COLING 2020