Hofit Bata

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it
• Model Architectures — 24 citations into it

Whom Hofit Bata trusts overall

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

1. Yoshua Bengio
2. Noam Shazeer
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Kaiming He
7. Ilya Sutskever
8. Ashish Vaswani
9. Yann LeCun
10. Gregory Beylkin

Papers from Hofit Bata's perspective

Ordered by how strongly the researchers Hofit Bata 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. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Layer Normalization

Their papers

• Limits to Depth Efficiencies of Self-Attention (2020) — 56 citations
• Jamba: A Hybrid Transformer-Mamba Language Model (2024) — 467 citations
• The Depth-to-Width Interplay in Self-Attention. (2020) — 33 citations