Manohar Kaul

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Graph Learning — 7 citations into it
• Natural Language Processing — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Manohar Kaul trusts overall

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

1. Richard Socher
2. Maximilian Nickel

Papers from Manohar Kaul's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs (2019) — 581 citations