Brennan Shacklett

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• ML Systems & Hardware — 6 citations into it

Whom Brennan Shacklett trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Kaiming He
3. Sepp Hochreiter
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yang You
7. Jimmy Ba
8. Yoshua Bengio
9. J. Urgen Schmidhuber
10. John Schulman

Who trusts Brennan Shacklett overall

1. N. Rudin

Papers from Brennan Shacklett's perspective

Ordered by how strongly the researchers Brennan Shacklett trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Large Batch Simulation for Deep Reinforcement Learning (2021) — 29 citations
• Encoding, Fast and Slow: Low-Latency Video Processing Using Thousands of Tiny Threads (2017) — 374 citations