Daniel Nyga

Artificial Intelligence · 2010–2018

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #16,889 of 35,345 by trust here, #25,040 by citations
• Natural Language Processing — 10 citations into it; #3,629 of 5,688 by trust here, #4,449 by citations
• Aerospace Engineering — 7 citations into it; #4,372 of 6,421 by trust here, #5,830 by citations

Whom Daniel Nyga trusts overall

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

1. Radu Bogdan Rusu
2. Matthew Richardson
3. Yoav Freund
4. George A. Miller
5. Dekang Lin
6. Catherine Havasi
7. Jeffrey Pennington
8. Pedro M. Domingos
9. Robert E. Schapire
10. Daniel Klein

Who trusts Daniel Nyga overall

1. Ivan Donadello
2. Michael Beetz
3. Stefanie Tellex
4. Moritz Tenorth
5. Lars Kunze
6. Luciano Serafini
7. Oliver Lemon
8. Ozan Sener

Papers from Daniel Nyga's perspective

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

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

Their papers

• Understanding and executing instructions for everyday manipulation tasks from the World Wide Web (2010) — 160 citations
• Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge (2018) — 49 citations
• PR2 looking at things — Ensemble learning for unstructured information processing with Markov logic networks (2014) — 43 citations