Dhara Mungra
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it
- Natural Language Processing — 49 citations into it
- Evaluation & Benchmarks — 35 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it
Whom Dhara Mungra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alec Radford
- Jacob Devlin
- Quoc V. Le
- Samuel R. Bowman
- Leora Morgenstern
- Myle Ott
Papers from Dhara Mungra's perspective
Ordered by how strongly the researchers Dhara Mungra trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- 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)
- Language Models are Unsupervised Multitask Learners
- ImageNet: A large-scale hierarchical image database
- 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
- Precise Task Formalization Matters in Winograd Schema Evaluations (2020) — 12 citations
- Comparing Test Sets with Item Response Theory (2021) — 64 citations