Bhavana Dalvi
Artificial Intelligence · 2013–2021
A researcher in the Science corpus: 13 papers; trusts 220 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 190 citations into it; #11,638 of 35,345 by trust here, #4,336 by citations
- Natural Language Processing — 141 citations into it; #2,101 of 5,688 by trust here, #1,753 by citations
- Computer Vision and Pattern Recognition — 49 citations into it; #16,970 of 21,575 by trust here, #12,992 by citations
- Evaluation & Benchmarks — 46 citations into it
- Information Systems — 27 citations into it
- Information Retrieval & Search — 23 citations into it
- Representation & Self-Supervised Learning — 18 citations into it; #1,914 of 3,145 by trust here, #965 by citations
- Molecular Biology — 13 citations into it
Whom Bhavana Dalvi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Arindam Banerjee
- Ilya Sutskever
- Christopher D. Manning
- Sepp Hochreiter
- Diederik P. Kingma
- Jason Aaron Edward Weston
- Alex Krizhevsky
- Yann LeCun
Who trusts Bhavana Dalvi overall
- Geli Fei
- Antonia Creswell
- Kaj Bostrom
- Jieyu Zhao
- B. Liu
- Lei Shu
- Murray Shanahan
- Aman Madaan
- Tianlu Wang
- Zhilin Yang
Papers from Bhavana Dalvi's perspective
Ordered by how strongly the researchers Bhavana Dalvi 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)
- Long Short-Term Memory
- 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)
- 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
- Never-Ending Learning (2015) — 1,135 citations
- From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project (2019) — 106 citations
- Explaining Answers with Entailment Trees (2021) — 232 citations
- WIQA: A dataset for “What if...” reasoning over procedural text (2019) — 116 citations
- Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge (2021) — 99 citations
- Hierarchical Semi-supervised Classification with Incomplete Class Hierarchies (2016) — 20 citations
- Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension (2018) — 143 citations
- A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications (2018) — 282 citations
- Be Consistent! Improving Procedural Text Comprehension using Label Consistency (2019) — 31 citations
- DREAM: Uncovering Mental Models behind Language Models (2021) — 12 citations
- ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language (2020) — 463 citations
- Constrained Semi-supervised Learning in the Presence of Unanticipated Classes (2016)
- Exploratory Learning (2013) — 47 citations