Dimitri Kartsaklis

Natural Language Processing · 2013–2014

A researcher in the Science corpus: 3 papers; trusts 67 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 52 citations into it; #4,419 of 5,688 by trust here, #4,601 by citations
• Artificial Intelligence — 31 citations into it; #26,911 of 35,345 by trust here, #25,040 by citations
• Representation & Self-Supervised Learning — 24 citations into it; #2,521 of 3,145 by trust here, #3,089 by citations
• Computational Linguistics & Semantics — 5 citations into it
• Model Architectures — 5 citations into it

Whom Dimitri Kartsaklis trusts overall

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

1. Nal Kalchbrenner
2. Marco Baroni
3. Edward Grefenstette
4. Geoffrey E. Hinton
5. Mirella Lapata
6. Richard Socher
7. Jeff Mitchell
8. Tony A. Plate
9. Adriano Ferraresi
10. Phil Blunsom

Who trusts Dimitri Kartsaklis overall

1. Dmitrijs Milajevs
2. Yilin Niu
3. Nal Kalchbrenner
4. Mehrnoosh Sadrzadeh

Papers from Dimitri Kartsaklis's perspective

Ordered by how strongly the researchers Dimitri Kartsaklis 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. 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Evaluating Neural Word Representations in Tensor-Based Compositional Settings (2014) — 116 citations
• Prior Disambiguation of Word Tensors for Constructing Sentence Vectors (2013) — 90 citations
• Compositional Operators in Distributional Semantics (2014) — 21 citations