Jwala Dhamala
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 76 citations into it
- Natural Language Processing — 50 citations into it
- Safety, Robustness & Interpretability — 41 citations into it
- Large Language Models — 21 citations into it
Whom Jwala Dhamala trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven Bird
- Alex Wang
- Sven Buechel
- Jacob Devlin
- Geoffrey E. Hinton
- Kyunghyun Cho
- Yoshua Bengio
- Kai-Wei Chang
- Diederik P. Kingma
- Ilya Sutskever
Who trusts Jwala Dhamala overall
- Jack Bandy
- Terry Yue Zhuo
- Marta Ruiz Costa-jussà
- Yanis Labrak
- Isabel O. Gallegos
- Johannes Welbl
- Hao Sun
- Emily Sheng
- February Friday
- Saleh Soltan
Papers from Jwala Dhamala's perspective
Ordered by how strongly the researchers Jwala Dhamala trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- 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
- Gradient-based learning applied to document recognition
- 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
- BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation (2021) — 594 citations
- On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations (2022) — 112 citations
- “I’m fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation (2023) — 99 citations