Massimiliano Ciaramita
Artificial Intelligence · 2005–2021
A researcher in the Science corpus: 11 papers; trusts 275 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 211 citations into it; #12,071 of 35,345 by trust here, #6,517 by citations
- Natural Language Processing — 130 citations into it; #3,980 of 5,688 by trust here, #1,626 by citations
- Computer Vision and Pattern Recognition — 81 citations into it
- Reinforcement Learning — 56 citations into it
- Information Systems — 36 citations into it; #2,379 of 8,771 by trust here, #1,933 by citations
- Information Retrieval & Search — 35 citations into it; #810 of 1,022 by trust here, #916 by citations
- Evaluation & Benchmarks — 27 citations into it; #1,271 of 3,147 by trust here, #2,244 by citations
- Model Architectures — 26 citations into it; #2,095 of 2,278 by trust here, #1,572 by citations
Whom Massimiliano Ciaramita trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ronald J. Williams
- Diederik P. Kingma
- Ilya Sutskever
- Yoshua Bengio
- Kyunghyun Cho
- Michael I. Jordan
- Alex Krizhevsky
- Oriol Vinyals
- Yann LeCun
Who trusts Massimiliano Ciaramita overall
- Aldo Gangemi
- Mohammad Taher Pilehvar
- Rodrigo Nogueira
- Bernd Bohnet
- José Camacho-Collados
- Francesco Piccinno
- Faezeh Ensan
Papers from Massimiliano Ciaramita's perspective
Ordered by how strongly the researchers Massimiliano Ciaramita trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Ask the Right Questions: Active Question Reformulation with Reinforcement Learning (2017) — 177 citations
- The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages (2009) — 625 citations
- On Identifiability in Transformers (2019) — 212 citations
- Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation (2018) — 11 citations
- A framework for benchmarking entity-annotation systems (2013) — 227 citations
- Modelling Ontology Evaluation and Validation (2006) — 377 citations
- Boosting Search Engines with Interactive Agents (2021) — 24 citations
- CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims (2020) — 284 citations
- Multi-agent query reformulation: Challenges and the role of diversity (2019) — 5 citations
- Piggyback: Using Search Engines for Robust Cross-Domain Named Entity Recognition (2011) — 40 citations
- Unsupervised Learning of Semantic Relations between Concepts of a Molecular Biology Ontology (2005) — 143 citations