Siddharth Goyal
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 6 papers; trusts 42 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 215 citations into it
- Natural Language Processing — 155 citations into it
- Computer Vision and Pattern Recognition — 106 citations into it
- Molecular Biology — 95 citations into it; #16,551 of 17,773 by trust here, #4,543 by citations
- Computational Biology & Bioinformatics — 82 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Siddharth Goyal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Tomas Mikolov
- Alec Radford
- Jimmy Ba
Who trusts Siddharth Goyal overall
- Michael Heinzinger
- Kevin Kaichuang Yang
- Nadav Brandes
- Brian L. Hie
- Ahmed Elnaggar
- Konstantin Weissenow
- Ali Madani
- Christian Dallago
- Ratul Chowdhury
- Robin Pearce
Papers from Siddharth Goyal's perspective
Ordered by how strongly the researchers Siddharth Goyal trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Beyond English-Centric Multilingual Machine Translation (2020) — 1,098 citations
- Why Build an Assistant in Minecraft? (2019) — 32 citations
- Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences (2019) — 3,265 citations
- The Open Catalyst 2020 (OC20) Dataset and Community Challenges (2020) — 822 citations
- An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage (2020) — 83 citations
- The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts (2022) — 346 citations