Tellen D. Bennett
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 14 citations into it
- Artificial Intelligence — 13 citations into it
- Generative Models — 7 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Tellen D. Bennett trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Evan Shelhamer
- Diederik P. Kingma
- Yoshua Bengio
- Eric Tzeng
- Trevor Darrell
- Judy Hoffman
- Phillip Isola
Papers from Tellen D. Bennett's perspective
Ordered by how strongly the researchers Tellen D. Bennett 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
- 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)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images