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Seungjin Choi

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Papers (14)

  1. MxML: Mixture of Meta-Learners for Few-Shot Classification cs.LG · 2019 · author #5
  2. A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure stat.ML · 2018 · author #3
  3. Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks cs.LG · 2018 · author #5
  4. Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace stat.ML · 2018 · author #2
  5. Learning to Warm-Start Bayesian Hyperparameter Optimization stat.ML · 2017 · author #3
  6. Bayesian inference on random simple graphs with power law degree distributions stat.ML · 2017 · author #5
  7. Gaussian Copula Variational Autoencoders for Mixed Data stat.ML · 2016 · author #2
  8. Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models stat.ML · 2015 · author #2
  9. Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework cs.CV · 2015 · author #4
  10. Bilinear Random Projections for Locality-Sensitive Binary Codes cs.CV · 2015 · author #2
  11. Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility stat.ML · 2015 · author #2
  12. Convex Optimization for Binary Classifier Aggregation in Multiclass Problems cs.LG · 2014 · author #3
  13. Regularized Discriminant Embedding for Visual Descriptor Learning cs.CV · 2013 · author #4
  14. Learning Features with Structure-Adapting Multi-view Exponential Family Harmoniums cs.LG · 2013 · author #2

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