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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Bidirectional Dependency-Guided Attention for Relation Extraction ACML 2020
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow ACML 2020
Deep Dynamic Boosted Forest ACML 2020
Disentangled Representations for Sequence Data using Information Bottleneck Principle ACML 2020
Learning Code Changes by Exploiting Bidirectional Converting Deviation ACML 2020
Learning Dynamic Context Graph Embedding ACML 2020
NENN: Incorporate Node and Edge Features in Graph Neural Networks ACML 2020
Randomness Efficient Feature Hashing for Sparse Binary Data ACML 2020
Scaling up Simhash ACML 2020
A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network ACML 2020
Neighborhood Growth Determines Geometric Priors for Relational Representation Learning AISTATS 2020
Distributionally Robust Formulation and Model Selection for the Graphical Lasso AISTATS 2020
Efficient Spectrum-Revealing CUR Matrix Decomposition AISTATS 2020
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering AISTATS 2020
Kernel Conditional Density Operators AISTATS 2020
Learning Gaussian Graphical Models via Multiplicative Weights AISTATS 2020
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations AISTATS 2020
Sparse and Low-rank Tensor Estimation via Cubic Sketchings AISTATS 2020
Two-sample Testing Using Deep Learning AISTATS 2020
Rep the Set: Neural Networks for Learning Set Representations AISTATS 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation AISTATS 2020
Differentiable Feature Selection by Discrete Relaxation AISTATS 2020
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces AISTATS 2020
Revisiting the Landscape of Matrix Factorization AISTATS 2020
GP-VAE: Deep Probabilistic Time Series Imputation AISTATS 2020