An-Chieh Cheng
Computer Vision and Pattern Recognition · 2018–2024
A researcher in the Science corpus: 5 papers; trusts 361 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 132 citations into it
- Artificial Intelligence — 126 citations into it
- Model Architectures — 31 citations into it
- Efficiency & Compression — 26 citations into it
- Optimization & Training — 25 citations into it
- Neural Architecture Search & AutoML — 18 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
- Reinforcement Learning — 13 citations into it
Whom An-Chieh Cheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Yoshua Bengio
- Barret Zoph
- Ilya Sutskever
- Yann LeCun
- Karen Simonyan
- Quoc V. Le
Who trusts An-Chieh Cheng overall
- S. Cong
- Xiangxiang Chu
- Thomas Elsken
- Wuyang Chen
- Hung-Jen Chen
- Dimitrios Stamoulis
- Yong Guo
- Yang Zhou
- Jihan Yang
- Jorge Armando Mendez Mendez
Papers from An-Chieh Cheng's perspective
Ordered by how strongly the researchers An-Chieh Cheng 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures (2018) — 197 citations
- SpatialRGPT: Grounded Spatial Reasoning in Vision Language Model (2024) — 364 citations
- Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization (2020) — 50 citations
- InstaNAS: Instance-aware Neural Architecture Search (2018) — 54 citations
- PPP-Net: Platform-aware Progressive Search for Pareto-optimal Neural Architectures (2018) — 58 citations