Prasanna Parthasarathi

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 140 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 151 citations into it; #16,038 of 35,345 by trust here, #18,586 by citations
• Natural Language Processing — 145 citations into it; #2,705 of 5,688 by trust here, #3,421 by citations
• Evaluation & Benchmarks — 39 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Large Language Models — 20 citations into it
• Model Architectures — 16 citations into it

Whom Prasanna Parthasarathi trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Graves
4. Ilya Sutskever
5. Jason Aaron Edward Weston
6. Diederik P. Kingma
7. Oriol Vinyals
8. Alex Krizhevsky
9. Yann LeCun
10. Antoine Bordes

Who trusts Prasanna Parthasarathi overall

1. Emily Dinan
2. Stephen Roller
3. Koustuv Sinha
4. Albert Webson
5. Douwe Kiela
6. Jason Aaron Edward Weston
7. Ziwei Ji
8. Ethan Perez
9. Hai Wang
10. Adina Williams

Papers from Prasanna Parthasarathi's perspective

Ordered by how strongly the researchers Prasanna Parthasarathi 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• UnNatural Language Inference (2020) — 102 citations
• Extending Neural Generative Conversational Model using External Knowledge Sources (2018) — 70 citations
• Sometimes We Want Ungrammatical Translations (2021) — 12 citations
• Learning an Unreferenced Metric for Online Dialogue Evaluation (2020) — 88 citations
• Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning (2019) — 15 citations