Fei Wu

Generative Models · with Ren · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Wu trusts

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

  1. Jaehyeon Kim (in Generative Models)
  2. Jungil Kong (in Generative Models)

Papers from Fei Wu's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. WaveNet: A Generative Model for Raw Audio
  3. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet classification with deep convolutional neural networks
  7. Long Short-Term Memory
  8. Gated Graph Sequence Neural Networks
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram

Their papers