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Shin-ichi Maeda

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Papers (14)

  1. A Bayesian Approach to Segmentation with Noisy Labels via Spatially Correlated Distributions eess.IV · 2025 · author #3
  2. Robustness to Adversarial Perturbations in Learning from Incomplete Data stat.ML · 2019 · author #2
  3. Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks in Molecular Graph Analysis cs.LG · 2019 · author #2
  4. DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback cs.HC · 2018 · author #5
  5. BayesGrad: Explaining Predictions of Graph Convolutional Networks cs.LG · 2018 · author #5
  6. Neural Multi-scale Image Compression stat.ML · 2018 · author #2
  7. Clipped Action Policy Gradient cs.LG · 2018 · author #2
  8. Semi-supervised learning of hierarchical representations of molecules using neural message passing stat.ML · 2017 · author #2
  9. Neural Sequence Model Training via $\alpha$-divergence Minimization stat.ML · 2017 · author #4
  10. Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning stat.ML · 2017 · author #2
  11. Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias stat.ML · 2015 · author #3
  12. Distributional Smoothing with Virtual Adversarial Training stat.ML · 2015 · author #2
  13. Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood cs.LG · 2015 · author #2
  14. A Bayesian encourages dropout cs.LG · 2014 · author #1

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