Carl Case
Artificial Intelligence · 2011–2018
A researcher in the Science corpus: 5 papers; trusts 25 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 100 citations into it
- Natural Language Processing — 65 citations into it; #3,300 of 5,688 by trust here, #358 by citations
- Computer Vision and Pattern Recognition — 49 citations into it
- Signal Processing — 48 citations into it
- Model Architectures — 40 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
- Evaluation & Benchmarks — 13 citations into it
Whom Carl Case trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yann LeCun
- Alex Graves
- Ilya Sutskever
- Yoshua Bengio
- Alex Krizhevsky
- Andrew L. Maas
- Diederik P. Kingma
- Andrew Y. Ng
- Oriol Vinyals
Who trusts Carl Case overall
- Nicholas Carlini
- William Chan
- Quoc V. Le
- Yoshua Bengio
- Ronan Collobert
- J. Urgen Schmidhuber
- Awni Y. Hannun
- Song Han
- Ekin Dogus Cubuk
- Po-Sen Huang
Papers from Carl Case's perspective
Ordered by how strongly the researchers Carl Case 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning (2011) — 437 citations
- OpenSeq2Seq: Extensible Toolkit for Distributed and Mixed Precision Training of Sequence-to-Sequence Models (2018) — 33 citations
- Mixed-Precision Training for NLP and Speech Recognition with OpenSeq2Seq (2018) — 52 citations
- Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin (2015) — 3,177 citations
- Deep Speech: Scaling up end-to-end speech recognition (2014) — 2,263 citations