Randy Goebel
Artificial Intelligence · 2009–2019
A researcher in the Science corpus: 10 papers; trusts 362 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it; #10,353 of 35,345 by trust here, #15,866 by citations
- Natural Language Processing — 42 citations into it; #4,555 of 5,688 by trust here, #5,502 by citations
- Computer Vision and Pattern Recognition — 40 citations into it; #21,077 of 21,575 by trust here, #20,756 by citations
- Evaluation & Benchmarks — 17 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Safety, Robustness & Interpretability — 11 citations into it
- Information Retrieval & Search — 8 citations into it
- Information Systems — 7 citations into it
Whom Randy Goebel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ilya Sutskever
- Yoshua Bengio
- Tomas Mikolov
- Andrew Zisserman
- Yann LeCun
- Kaiming He
- Diederik P. Kingma
Who trusts Randy Goebel overall
- Andreas Holzinger
- Juliano Rabelo
- Vanessa Buhrmester
- Georg Langs
- Jimmy J. Lin
- Mi-Young Kim
- David Münch
- Florent Avellaneda
Papers from Randy Goebel's perspective
Ordered by how strongly the researchers Randy Goebel 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Combining Similarity and Transformer Methods for Case Law Entailment (2019) — 31 citations
- A Summary of the COLIEE 2019 Competition (2019) — 85 citations
- Statute Law Information Retrieval and Entailment (2019) — 34 citations
- Explainable AI: The New 42? (2018) — 298 citations
- An Introduction to Deep Visual Explanation (2017) — 19 citations
- Towards Integrative Machine Learning and Knowledge Extraction (2017) — 22 citations
- Overview of COLIEE 2017 (2017) — 26 citations
- Using KL-divergence to focus Deep Visual Explanation (2017) — 12 citations
- COLIEE-2016: Evaluation of the Competition on Legal Information Extraction and Entailment (2016)
- Glen, Glenda or Glendale: Unsupervised and Semi-supervised Learning of English Noun Gender (2009) — 15 citations