Abhishek Pathak

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Natural Language Processing — 9 citations into it

Whom Abhishek Pathak trusts overall

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

1. George A. Miller
2. Johan Bos
3. Dan Roth
4. Alexander M. Rush
5. Kai-Wei Chang
6. Chi Jin
7. Michelangelo Diligenti
8. Guillaume Lample
9. Sameer Pradhan
10. Kurt Dewitt Bollacker

Papers from Abhishek Pathak's perspective

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

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

Their papers

• A Primal Dual Formulation For Deep Learning With Constraints (2019) — 122 citations