Xavier García
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 13 papers; trusts 269 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 713 citations into it
- Natural Language Processing — 460 citations into it
- Computer Vision and Pattern Recognition — 255 citations into it
- Evaluation & Benchmarks — 207 citations into it
- Large Language Models — 168 citations into it
- Model Architectures — 61 citations into it
- Prompting & Reasoning — 60 citations into it
- Efficiency & Compression — 49 citations into it
Whom Xavier García trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Rico Sennrich
- Matt Post
- Jimmy Ba
- Alex Krizhevsky
- Noam Shazeer
- Kyunghyun Cho
Who trusts Xavier García overall
Papers from Xavier García's perspective
Ordered by how strongly the researchers Xavier García trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
Their papers
- PaLM: Scaling Language Modeling with Pathways (2022) — 8,214 citations
- PaLM 2 Technical Report (2023) — 1,524 citations
- UL2: Unifying Language Learning Paradigms (2022) — 395 citations
- Transcending Scaling Laws with 0.1% Extra Compute (2022) — 78 citations
- Scaling Laws for Neural Machine Translation (2021) — 136 citations
- Building Machine Translation Systems for the Next Thousand Languages (2022) — 120 citations
- Measuring The Impact Of Programming Language Distribution (2023) — 52 citations
- FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation (2022) — 27 citations
- A Multilingual View of Unsupervised Machine Translation (2020) — 40 citations
- Scaling Up Models and Data with t5x and seqio (2022) — 224 citations
- Using natural language prompts for machine translation (2022) — 38 citations
- Unifying Language Learning Paradigms (2022) — 139 citations
- Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution (2021) — 53 citations