Marius Pasca
Artificial Intelligence · 2000–2011
A researcher in the Science corpus: 8 papers; trusts 32 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it; #12,228 of 35,345 by trust here, #6,468 by citations
- Natural Language Processing — 23 citations into it; #4,610 of 5,688 by trust here, #5,214 by citations
- Information Retrieval & Search — 16 citations into it
- Information Systems — 12 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Molecular Biology — 5 citations into it
Whom Marius Pasca trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marti A. Hearst
- Dekang Lin
- Thorsten Brants
- Ellen Riloff
- Michele Banko
- Rion Snow
- Thorsten Joachims
- Yuhai Wu
- Dan Jurafsky
- Michael J. Cafarella
Who trusts Marius Pasca overall
- Zhaochen Guo
- Lev-Arie Ratinov
- Dan Roth
- Patrick Pantel
- Rada Mihalcea
- Avirup Sil
- Roberto Navigli
- Denilson Barbosa
- Petros Venetis
- Fabian M. Suchanek
Papers from Marius Pasca's perspective
Ordered by how strongly the researchers Marius Pasca trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches (2009) — 985 citations
- Performance Issues and Error Analysis in an Open-Domain Question Answering System (2002) — 359 citations
- Finding meaning on YouTube: Tag recommendation and category discovery (2010) — 103 citations
- Recovering Semantics of Tables on the Web (2011) — 383 citations
- Weakly-Supervised Acquisition of Open-Domain Classes and Class Attributes from Web Documents and Query Logs (2008) — 114 citations
- Using Encyclopedic Knowledge for Named entity Disambiguation (2006) — 961 citations
- Open-domain textual question answering techniques (2003) — 93 citations
- FALCON: Boosting Knowledge for Answer Engines (2000) — 339 citations