Smaranda Muresan

Artificial Intelligence · 2011–2022

A researcher in the Science corpus: 7 papers; trusts 198 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 127 citations into it; #19,670 of 35,345 by trust here, #10,207 by citations
• Natural Language Processing — 93 citations into it; #3,984 of 5,688 by trust here, #2,634 by citations
• Computer Vision and Pattern Recognition — 52 citations into it
• Evaluation & Benchmarks — 35 citations into it
• Large Language Models — 20 citations into it; #578 of 799 by trust here, #689 by citations
• Representation & Self-Supervised Learning — 16 citations into it
• Experimental and Cognitive Psychology — 11 citations into it
• Reinforcement Learning — 9 citations into it

Whom Smaranda Muresan trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Ilya Sutskever
6. Sepp Hochreiter
7. Yann LeCun
8. Kaiming He
9. Richard Socher
10. Jimmy Ba

Who trusts Smaranda Muresan overall

1. Saif M. Mohammad
2. Lei Zhang
3. Soujanya Poria
4. Ashwin Rajadesingan
5. Aditya Joshi
6. James Thorne
7. Zixuan Ke
8. Elvis Saravia

Papers from Smaranda Muresan's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Grounding English Commands to Reward Functions (2015) — 104 citations
• Continual-T0: Progressively Instructing 50+ Tasks to Language Models Without Forgetting (2022) — 22 citations
• R3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge (2020) — 70 citations
• Where is Your Evidence: Improving Fact-checking by Justification Modeling (2018) — 180 citations
• Fine-tuned Language Models are Continual Learners (2022) — 185 citations
• MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding (2021) — 86 citations
• Identifying Sarcasm in Twitter: A Closer Look (2011) — 699 citations