Michael J. Witbrock
Artificial Intelligence · 1997–2018
A researcher in the Science corpus: 10 papers; trusts 167 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 119 citations into it; #7,925 of 35,345 by trust here, #7,241 by citations
- Natural Language Processing — 86 citations into it; #1,950 of 5,688 by trust here, #2,634 by citations
- Computer Vision and Pattern Recognition — 76 citations into it
- Evaluation & Benchmarks — 38 citations into it
- Model Architectures — 26 citations into it
- Media Technology — 24 citations into it
- Information Systems — 19 citations into it
Whom Michael J. Witbrock trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Ilya Sutskever
- Diederik P. Kingma
- Slava M. Katz
- Peter Clark
- Ross B. Girshick
Who trusts Michael J. Witbrock overall
- Katja Filippova
- Karen Spärck Jones
- Moritz Tenorth
- Ziqiang Cao
- Yansong Feng
- Mirella Lapata
- Fabian M. Suchanek
- Gianluca Demartini
- Parth Mehta
- Jianpeng Cheng
Papers from Michael J. Witbrock's perspective
Ordered by how strongly the researchers Michael J. Witbrock trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Dilated Recurrent Neural Networks (2017) — 351 citations
- Image Super-Resolution via Dual-State Recurrent Networks (2018) — 241 citations
- Headline Generation Based on Statistical Translation (2000) — 277 citations
- A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset (2018) — 94 citations
- Improving Natural Language Inference Using External Knowledge in the Science Questions Domain (2018) — 177 citations
- Reports of the 2016 AAAI Workshop Program (2016) — 3 citations
- Answering Science Exam Questions Using Query Rewriting with Background Knowledge (2018) — 7 citations
- Reports from the 2015 AAAI Workshop Program (2015) — 3 citations
- An Introduction to the Syntax and Content of Cyc (2006) — 441 citations
- SPEECH RECOGNITION AND INFORMATION RETRIEVAL: EXPERIMENTS IN RETRIEVING SPOKEN DOCUMENTS (1997)