Wei-Cheng Tseng
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 63 citations into it
- Signal Processing — 35 citations into it
- Speech & Audio — 28 citations into it
- Representation & Self-Supervised Learning — 22 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Reinforcement Learning — 12 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Biomedical Engineering — 5 citations into it
Whom Wei-Cheng Tseng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- John Schulman
- Yoshua Bengio
- Diederik P. Kingma
- Rodrigo Malacarne
- Alex Krizhevsky
- Sergey Levine
- L. V. D. van der Maaten
- Yann LeCun
- Anirudh Goyal
Who trusts Wei-Cheng Tseng overall
Papers from Wei-Cheng Tseng's perspective
Ordered by how strongly the researchers Wei-Cheng Tseng trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
Their papers
- SUPERB: Speech processing Universal PERformance Benchmark (2021) — 1,225 citations
- The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens (2019) — 434 citations
- Utilizing Self-supervised Representations for MOS Prediction (2021) — 73 citations
- Toward Robust Long Range Policy Transfer (2021) — 8 citations