Danish Pruthi
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 5 papers; trusts 96 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 88 citations into it; #13,211 of 35,345 by trust here, #8,157 by citations
- Natural Language Processing — 69 citations into it; #3,233 of 5,688 by trust here, #2,695 by citations
- Computer Vision and Pattern Recognition — 33 citations into it; #13,539 of 21,575 by trust here, #15,529 by citations
- Safety, Robustness & Interpretability — 21 citations into it; #1,926 of 2,251 by trust here, #1,162 by citations
- Evaluation & Benchmarks — 18 citations into it; #2,579 of 3,147 by trust here, #2,062 by citations
- Model Architectures — 12 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
Whom Danish Pruthi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Jacob Devlin
- Alex Graves
- Richard Socher
- Alex Krizhevsky
- Ilya Sutskever
- Diederik P. Kingma
- Dzmitry Bahdanau
- J. Urgen Schmidhuber
Who trusts Danish Pruthi overall
- J'er'emy Scheurer
- Joe Stacey
- Alon Jacovi
- Jon Ander Campos
- Angelica Chen
- Sarthak Jain
- Yonatan Belinkov
- John X. Morris
- Nazneen Rajani
- Yoav Goldberg
Papers from Danish Pruthi's perspective
Ordered by how strongly the researchers Danish Pruthi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Simple and Effective Semi-Supervised Question Answering (2018) — 67 citations
- Learning to Deceive with Attention-Based Explanations (2019) — 217 citations
- compare-mt: A Tool for Holistic Comparison of Language Generation Systems (2019) — 118 citations
- Combating Adversarial Misspellings with Robust Word Recognition (2019) — 363 citations
- Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students? (2020) — 123 citations