Amrita Saha
Artificial Intelligence · 2014–2024
A researcher in the Science corpus: 4 papers; trusts 42 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 78 citations into it; #31,668 of 35,345 by trust here, #8,706 by citations
- Natural Language Processing — 64 citations into it; #5,131 of 5,688 by trust here, #1,966 by citations
- Computer Vision and Pattern Recognition — 28 citations into it; #21,432 of 21,575 by trust here, #14,151 by citations
- Evaluation & Benchmarks — 23 citations into it; #3,116 of 3,147 by trust here, #2,410 by citations
- Information Retrieval & Search — 8 citations into it
Whom Amrita Saha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antoine Bordes
- Jason Aaron Edward Weston
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Jonathan Berant
- Ilya Sutskever
- Alex Krizhevsky
- Iulian Serban
- Yann LeCun
Who trusts Amrita Saha overall
- Saku Sugawara
- Seanie Lee
- Matt Gardner
- Huihan Li
- Adam Fisch
- Daya Guo
- Alon Talmor
- Eunsol Choi
- Robin Jia
- Hsin-Yuan Huang
Papers from Amrita Saha's perspective
Ordered by how strongly the researchers Amrita Saha 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
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- An Autoencoder Approach to Learning Bilingual Word Representations (2014) — 348 citations
- Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph (2018) — 212 citations
- DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension (2018) — 206 citations
- When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards (2024) — 153 citations