Brejesh Lall

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 — 27 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Signal Processing — 16 citations into it
• Natural Language Processing — 9 citations into it
• Model Architectures — 7 citations into it

Whom Brejesh Lall trusts overall

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

1. Jimmy Ba
2. Geoffrey E. Hinton

Papers from Brejesh Lall's perspective

Ordered by how strongly the researchers Brejesh Lall 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. Attention is All you Need (Neural Information Processing Systems)
3. Layer Normalization
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Densely Connected Convolutional Networks
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55 (2017) — 70 citations
• Normalization Driven Zero-Shot Multi-Speaker Speech Synthesis (2021) — 15 citations