Anssi Kanervisto
Artificial Intelligence · 2016–2023
A researcher in the Science corpus: 3 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 57 citations into it
- Computer Vision and Pattern Recognition — 41 citations into it
- Reinforcement Learning — 31 citations into it
- Natural Language Processing — 18 citations into it
- Model Architectures — 13 citations into it
- Generative Models — 9 citations into it
- Statistical and Nonlinear Physics — 7 citations into it
- Optimization & Training — 5 citations into it
Whom Anssi Kanervisto trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ronald J. Williams
- Alex Graves
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Volodymyr Mnih
- Yann LeCun
- Sergey Ioffe
- Jonathan Ho
Papers from Anssi Kanervisto's perspective
Ordered by how strongly the researchers Anssi Kanervisto trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Image-to-Markup Generation with Coarse-to-Fine Attention (2016) — 276 citations
- Imitating Human Behaviour with Diffusion Models (2023) — 323 citations
- Stable-Baselines3: Reliable Reinforcement Learning Implementations (2021) — 2,998 citations