Rafal Kocielnik
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it
- Natural Language Processing — 29 citations into it
- Safety, Robustness & Interpretability — 18 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Human-Computer Interaction — 7 citations into it
- Information Systems and Management — 7 citations into it
- Sociology and Political Science — 6 citations into it
Whom Rafal Kocielnik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anol Bhattacherjee
- Brian Y. Lim
- Marco Tulio Ribeiro
- Stavros Antifakos
- Anind K. Dey
- Javier Chiyah-Garcia
- Thomas Davidson
- Geoffrey E. Hinton
- Sameer Singh
- Yoshua Bengio
Who trusts Rafal Kocielnik overall
Papers from Rafal Kocielnik's perspective
Ordered by how strongly the researchers Rafal Kocielnik trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases (2021) — 27 citations
- Will You Accept an Imperfect AI?: Exploring Designs for Adjusting End-user Expectations of AI Systems (2019) — 363 citations