Alberto García-Durán
Artificial Intelligence · 2013–2019
A researcher in the Science corpus: 9 papers; trusts 487 researchers and is trusted by 90 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 118 citations into it; #21,910 of 35,345 by trust here, #8,999 by citations
- Computer Vision and Pattern Recognition — 93 citations into it
- Representation & Self-Supervised Learning — 42 citations into it; #401 of 3,145 by trust here, #344 by citations
- Graph Learning — 35 citations into it; #75 of 693 by trust here, #67 by citations
- Natural Language Processing — 31 citations into it
- Knowledge Graphs & Representation — 24 citations into it
- Evaluation & Benchmarks — 19 citations into it
- Model Architectures — 11 citations into it
Whom Alberto García-Durán trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Antoine Bordes
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Jimmy Ba
- Yann LeCun
- Tomas Mikolov
- Ruslan Salakhutdinov
Who trusts Alberto García-Durán overall
- Woojeong Jin
- Seyed Mehran Kazemi
- Baoxu Shi
- Xiang Wang
- Kristina Toutanova
- Muhan Zhang
- Quan Wang
- William L. Hamilton
- Xiang Ren
- Shaoxiong Ji
Papers from Alberto García-Durán's perspective
Ordered by how strongly the researchers Alberto García-Durán 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)
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus (2016) — 300 citations
- Composing Relationships with Translations (2015) — 94 citations
- Irreflexive and Hierarchical Relations as Translations (2013) — 36 citations
- Learning Sequence Encoders for Temporal Knowledge Graph Completion (2018) — 557 citations
- MMKG: Multi-Modal Knowledge Graphs (2019) — 335 citations
- Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs (2017) — 40 citations
- Learning Graph Representations with Embedding Propagation (2017) — 176 citations
- Representation Learning for Visual-Relational Knowledge Graphs (2017) — 15 citations
- Translating Embeddings for Modeling Multi-relational Data (2013) — 9,012 citations