Taylor Berg-Kirkpatrick
Signal Processing · with Chen · 2022
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 23 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
- Artificial Intelligence — 19 citations into it
- Evaluation & Benchmarks — 8 citations into it
Whom Taylor Berg-Kirkpatrick trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Taylor Berg-Kirkpatrick's perspective
Ordered by how strongly the researchers Taylor Berg-Kirkpatrick trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge