Lilian Weng
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 7 papers; trusts 101 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 250 citations into it; #27,365 of 35,345 by trust here, #3,080 by citations
- Reinforcement Learning — 154 citations into it
- Computer Vision and Pattern Recognition — 93 citations into it
- Control and Systems Engineering — 91 citations into it
- Representation & Self-Supervised Learning — 39 citations into it
- Robotics & Control — 39 citations into it
- Management Science and Operations Research — 23 citations into it
- Information Retrieval & Search — 21 citations into it
Whom Lilian Weng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Urgen Schmidhuber
- Richard S. Sutton
- Ronald J. Williams
- Geoffrey E. Hinton
- Ian Osband
- Yoshua Bengio
- Diederik P. Kingma
- Andrew Barto
- Marc G. Bellemare
- Alex Krizhevsky
Who trusts Lilian Weng overall
Papers from Lilian Weng's perspective
Ordered by how strongly the researchers Lilian Weng 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Learning dexterous in-hand manipulation (2018) — 2,231 citations
- Solving Rubik's Cube with a Robot Hand (2019) — 1,497 citations
- ORRB - OpenAI Remote Rendering Backend (2019) — 13 citations
- Text and Code Embeddings by Contrastive Pre-Training (2022) — 613 citations
- GPT-4 Technical Report (2023) — 26,133 citations
- Exploration in Deep Reinforcement Learning: A Survey (2022) — 605 citations
- Automatic Curriculum Learning For Deep RL: A Short Survey (2020) — 235 citations