Shanya Sharma Sharma
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 6 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 239 citations into it
- Natural Language Processing — 154 citations into it
- Safety, Robustness & Interpretability — 84 citations into it
- Evaluation & Benchmarks — 68 citations into it
- Computer Vision and Pattern Recognition — 51 citations into it
Whom Shanya Sharma Sharma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Adina Williams
- Samuel R. Bowman
- Jacob Devlin
- Geoffrey E. Hinton
- Yoshua Bengio
- Pranav Rajpurkar
- Wenpeng Yin
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
Papers from Shanya Sharma Sharma's perspective
Ordered by how strongly the researchers Shanya Sharma Sharma 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)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
Their papers
- Multitask Prompted Training Enables Zero-Shot Task Generalization (2021) — 2,030 citations
- PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts (2022) — 417 citations
- Evaluating Gender Bias in Natural Language Inference (2021) — 46 citations
- You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings (2022)
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations
- Multitask Prompted Training Enables Zero-Shot Task Generalization (2022) — 242 citations