Rohan Jha

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Natural Language Processing — 45 citations into it
• Safety, Robustness & Interpretability — 17 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Representation & Self-Supervised Learning — 7 citations into it; #2,396 of 3,145 by trust here, #2,910 by citations

Whom Rohan Jha trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Ilya Sutskever
5. Richard Socher
6. Elena Voita
7. Jorma Rissanen
8. Samuel R. Bowman
9. Alex Krizhevsky
10. Jacob Devlin

Who trusts Rohan Jha overall

1. Yonatan Belinkov
2. Peter Hase
3. Ethan Perez

Papers from Rohan Jha's perspective

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

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

Their papers

• Predicting Inductive Biases of Pre-Trained Models (2021) — 74 citations