Livio Baldini Soares

Artificial Intelligence · 2010–2024

A researcher in the Science corpus: 10 papers; trusts 109 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 187 citations into it; #8,224 of 35,345 by trust here, #3,797 by citations
• Natural Language Processing — 133 citations into it; #2,109 of 5,688 by trust here, #1,286 by citations
• Computer Vision and Pattern Recognition — 59 citations into it; #14,574 of 21,575 by trust here, #8,502 by citations
• Large Language Models — 37 citations into it
• Representation & Self-Supervised Learning — 34 citations into it
• Evaluation & Benchmarks — 27 citations into it; #2,338 of 3,147 by trust here, #2,095 by citations
• Model Architectures — 22 citations into it
• Information Retrieval & Search — 20 citations into it

Whom Livio Baldini Soares trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Ilya Sutskever
5. Jimmy Ba
6. Jacob Devlin
7. Tomas Mikolov
8. Alex Krizhevsky
9. Andriy Mnih
10. Ashish Vaswani

Who trusts Livio Baldini Soares overall

1. Tara Safavi
2. Xu Han
3. Chengwei Qin
4. Shirui Pan
5. Tianyu Gao
6. Christoph Alt
7. Danai Koutra
8. Lila Boualili
9. Wenxuan Zhou
10. Kang Zhao

Papers from Livio Baldini Soares's perspective

Ordered by how strongly the researchers Livio Baldini Soares 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
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

• Entities as Experts: Sparse Memory Access with Entity Supervision (2020) — 177 citations
• QED: A Framework and Dataset for Explanations in Question Answering (2020) — 83 citations
• Matching the Blanks: Distributional Similarity for Relation Learning (2019) — 866 citations
• Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge (2020) — 54 citations
• Learning Cross-Context Entity Representations from Text (2020) — 33 citations
• Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students? (2020) — 123 citations
• Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2024) — 3,818 citations
• Gemma 2: Improving Open Language Models at a Practical Size (2024) — 2,206 citations
• Scaling Up Models and Data with t5x and seqio (2022) — 224 citations
• FlexSC: Flexible System Call Scheduling with Exception-Less System Calls (2010) — 338 citations