Denny Britz
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 6 papers; trusts 166 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 98 citations into it; #12,797 of 35,345 by trust here, #6,720 by citations
- Natural Language Processing — 74 citations into it; #5,423 of 5,688 by trust here, #3,190 by citations
- Computer Vision and Pattern Recognition — 46 citations into it; #9,313 of 21,575 by trust here, #6,671 by citations
- Model Architectures — 23 citations into it; #1,041 of 2,278 by trust here, #942 by citations
- Evaluation & Benchmarks — 11 citations into it
- Management Science and Operations Research — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Denny Britz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Diederik P. Kingma
- Dzmitry Bahdanau
- Kyunghyun Cho
- Oriol Vinyals
- Alex Graves
- Geoffrey E. Hinton
- Ilya Sutskever
- Rico Sennrich
- Sepp Hochreiter
Who trusts Denny Britz overall
- Álvaro Peris
- Boris Ivanovic
- Michele Tufano
- Yu-An Wang
- Akshita Jha
- Ondrej Dusek
- Xizhou Zhu
- Reid Pryzant
- Dan Otter
- Rewon Child
Papers from Denny Britz's perspective
Ordered by how strongly the researchers Denny Britz 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Going deeper with convolutions
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Massive Exploration of Neural Machine Translation Architectures (2017) — 546 citations
- Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models (2017) — 218 citations
- Pommerman: A Multi-Agent Playground (2018) — 90 citations
- Efficient Attention using a Fixed-Size Memory Representation (2017) — 32 citations
- JESC: Japanese-English Subtitle Corpus (2017) — 73 citations
- Generating Long and Diverse Responses with Neural Conversation Models (2017) — 65 citations