Peng Yang
Artificial Intelligence · with Gao · 2013–2021
A researcher in the Science corpus: 5 papers; trusts 251 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 76 citations into it; #28,461 of 35,345 by trust here, #34,213 by citations
- Computer Vision and Pattern Recognition — 42 citations into it
- Representation & Self-Supervised Learning — 30 citations into it
- Meta & Continual Learning — 25 citations into it
- Optimization & Training — 19 citations into it
- Computational Theory and Mathematics — 15 citations into it; #11,837 of 12,182 by trust here, #6,165 by citations
- Computational Mechanics — 13 citations into it; #8,066 of 10,001 by trust here, #9,582 by citations
- Reinforcement Learning — 12 citations into it
Whom Peng Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Koby Crammer
- Geoffrey E. Hinton
- Ofer Dekel
- Theodoros Evgeniou
- Alex Krizhevsky
- Yoshua Bengio
- Kaiming He
- Diederik P. Kingma
- Yann LeCun
- Marc'Aurelio Ranzato
Who trusts Peng Yang overall
Papers from Peng Yang's perspective
Ordered by how strongly the researchers Peng Yang 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Drug-target interaction prediction by learning from local information and neighbors (2013) — 347 citations
- Mitigating Forgetting in Online Continual Learning with Neuron Calibration (2021) — 38 citations
- Confidence Weighted Multitask Learning (2019) — 7 citations
- SupportNet: solving catastrophic forgetting in class incremental learning with support data (2018) — 31 citations
- Robust Online Multi-Task Learning with Correlative and Personalized Structures (2017) — 19 citations