Ioannis Tsochantaridis

Artificial Intelligence · 2002–2005

A researcher in the Science corpus: 5 papers; trusts 20 researchers and is trusted by 249 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #3,542 of 35,345 by trust here, #5,424 by citations
• Natural Language Processing — 10 citations into it
• Statistical Learning Theory — 6 citations into it; #151 of 1,038 by trust here, #186 by citations

Whom Ioannis Tsochantaridis trusts overall

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

1. Michael Collins
2. Yuhai Wu
3. Thorsten Joachims
4. B. Taskar
5. Yasemin Altun
6. Daniel H. Younger
7. Thomas Hofmann
8. Christopher D. Manning
9. Sally A. Goldman
10. Lijuan Cai

Who trusts Ioannis Tsochantaridis overall

1. Thorsten Joachims
2. Yoshua Bengio
3. Alexander Gerhard Schwing
4. Dacheng Tao
5. Yi Yang
6. Trevor Darrell
7. Liang-Chieh Chen
8. Raquel Urtasun
9. Ross B. Girshick
10. Quoc V. Le

Papers from Ioannis Tsochantaridis's perspective

Ordered by how strongly the researchers Ioannis Tsochantaridis 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Support vector machine learning for interdependent and structured output spaces (2004) — 1,486 citations
• Large Margin Methods for Structured and Interdependent Output Variables (2005) — 2,337 citations
• Hidden Markov Support Vector Machines (2003) — 578 citations
• Support Vector Machines for Multiple-Instance Learning (2002) — 1,662 citations
• Multiple instance learning with generalized support vector machines (2002) — 117 citations