Karan Goel
Artificial Intelligence · 2017–2022
A researcher in the Science corpus: 8 papers; trusts 138 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 151 citations into it; #5,852 of 35,345 by trust here, #1,904 by citations
- Natural Language Processing — 72 citations into it
- Computer Vision and Pattern Recognition — 71 citations into it; #6,757 of 21,575 by trust here, #7,852 by citations
- Model Architectures — 59 citations into it; #718 of 2,278 by trust here, #860 by citations
- Signal Processing — 45 citations into it; #4,623 of 7,572 by trust here, #2,114 by citations
- Evaluation & Benchmarks — 35 citations into it
- Generative Models — 25 citations into it
- Large Language Models — 14 citations into it
Whom Karan Goel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Richard S. Sutton
- Sepp Hochreiter
- Andrew Y. Ng
- Yann LeCun
- Kaiming He
Who trusts Karan Goel overall
- Albert Gu
- Ankit Gupta
- Antonio Orvieto
- Tri Dao
- Jimmy Smith
- Matthew Baas
- Xinkun Nie
- Yuma Koizumi
- Juan Miguel Lopez Alcaraz
- Tian Zhou
Papers from Karan Goel's perspective
Ordered by how strongly the researchers Karan Goel trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- On the Opportunities and Risks of Foundation Models (2021) — 6,923 citations
- Efficiently Modeling Long Sequences with Structured State Spaces (2021) — 3,939 citations
- Robustness Gym: Unifying the NLP Evaluation Landscape (2021) — 167 citations
- It's Raw! Audio Generation with State-Space Models (2022) — 266 citations
- Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers (2021) — 1,197 citations
- On the Parameterization and Initialization of Diagonal State Space Models (2022) — 629 citations
- SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization (2021) — 25 citations
- Sample Efficient Policy Search for Optimal Stopping Domains (2017) — 9 citations