Wataru Nakata

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wataru Nakata trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Leo Breiman

Who trusts Wataru Nakata overall

  1. Hubert Siuzdak

Papers from Wataru Nakata's perspective

Ordered by how strongly the researchers Wataru Nakata trusts endorse each paper. Same corpus, a different order for every researcher.

  1. HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
  2. Unsupervised Cross-lingual Representation Learning for Speech Recognition
  3. WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
  4. Stacked regressions
  5. Optuna: A Next-generation Hyperparameter Optimization Framework
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers