Tsung-Wei Ke

Artificial Intelligence · with Fragkiadaki · 2024

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 31 citations into it
• Robotics & Control — 8 citations into it
• Model Architectures — 6 citations into it
• Generative Models — 5 citations into it

Whom Tsung-Wei Ke trusts overall

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

1. Geoffrey E. Hinton
2. James J. Kuffner Jr.
3. Kaiming He
4. Diederik P. Kingma
5. Tsung-Yi Lin
6. Alex Krizhevsky
7. Ross B. Girshick
8. Yoshua Bengio
9. Jiaming Song
10. Alec Radford

Who trusts Tsung-Wei Ke overall

1. Yueen Ma
2. Zixing Song

Papers from Tsung-Wei Ke's perspective

Ordered by how strongly the researchers Tsung-Wei Ke trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations (2024) — 349 citations