Wojciech Gajewski

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 60 citations into it; #32,960 of 35,345 by trust here, #12,580 by citations
• Natural Language Processing — 40 citations into it; #5,302 of 5,688 by trust here, #3,053 by citations
• Computer Vision and Pattern Recognition — 37 citations into it
• Model Architectures — 23 citations into it
• Reinforcement Learning — 10 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Wojciech Gajewski trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ronald J. Williams
2. Ilya Sutskever
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Dzmitry Bahdanau
6. Diederik P. Kingma

Who trusts Wojciech Gajewski overall

1. Rodrigo Nogueira

Papers from Wojciech Gajewski's perspective

Ordered by how strongly the researchers Wojciech Gajewski trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Language Models are Unsupervised Multitask Learners

Their papers

• Ask the Right Questions: Active Question Reformulation with Reinforcement Learning (2017) — 177 citations
• Sparse is Enough in Scaling Transformers (2021) — 125 citations