Cheng-Kuang Lee

Artificial Intelligence · 2021

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 Cheng-Kuang Lee trusts

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

  1. Qiang Yang (in Artificial Intelligence)
  2. Yu Zhang (in Artificial Intelligence)

Papers from Cheng-Kuang Lee's perspective

Ordered by how strongly the researchers Cheng-Kuang Lee trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  4. Representation Learning with Contrastive Predictive Coding
  5. Neural Machine Translation of Rare Words with Subword Units
  6. Librispeech: An ASR corpus based on public domain audio books
  7. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
  8. wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (Neural Information Processing Systems)
  9. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
  10. VoxCeleb: A Large-Scale Speaker Identification Dataset

Their papers