Ksenia Konyushkova
Artificial Intelligence · 2017–2023
A researcher in the Science corpus: 4 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 134 citations into it
- Reinforcement Learning — 110 citations into it
- Computer Vision and Pattern Recognition — 57 citations into it
- Natural Language Processing — 24 citations into it
- Evaluation & Benchmarks — 15 citations into it
Whom Ksenia Konyushkova trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Burr Settles
- Geoffrey E. Hinton
- Evan Shelhamer
- Alex Krizhevsky
- Diederik P. Kingma
- Simon Tong
- Yoshua Bengio
- Kaiming He
- Ilya Sutskever
- Yann LeCun
Who trusts Ksenia Konyushkova overall
Papers from Ksenia Konyushkova's perspective
Ordered by how strongly the researchers Ksenia Konyushkova 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
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Scaling data-driven robotics with reward sketching and batch reinforcement learning (2019) — 160 citations
- A Framework for Data-Driven Robotics (2019) — 30 citations
- Reinforced Self-Training (ReST) for Language Modeling (2023) — 473 citations
- Learning Active Learning from Data (2017) — 346 citations