Evaldas Latoskinas

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Information Systems — 18 citations into it
• Program Analysis & Verification — 12 citations into it
• Software — 11 citations into it
• Natural Language Processing — 9 citations into it
• Signal Processing — 7 citations into it

Whom Evaldas Latoskinas trusts overall

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

1. Diederik P. Kingma
2. Miltiadis Allamanis
3. Steven Bird
4. Ronald J. Williams
5. Oriol Vinyals
6. Earl T. Barr
7. Mike Schuster
8. Tomas Mikolov
9. Geoffrey E. Hinton
10. Ilya Sutskever

Papers from Evaldas Latoskinas's perspective

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

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

Their papers

• Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python (2021) — 77 citations