Aparna Garimella

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it; #30,571 of 35,345 by trust here, #20,377 by citations
• Natural Language Processing — 48 citations into it; #4,975 of 5,688 by trust here, #4,183 by citations
• Safety, Robustness & Interpretability — 23 citations into it; #1,951 of 2,251 by trust here, #1,819 by citations
• Evaluation & Benchmarks — 11 citations into it
• Human-Computer Interaction — 6 citations into it

Whom Aparna Garimella trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kristina Toutanova
2. Carlo Strapparava
3. David A. Huffaker
4. Christopher D. Manning
5. Dirk Hovy
6. Daniel Klein
7. David M. Blei
8. Jonathan Schler
9. Radim Rehurek
10. Mitchell P. Marcus

Who trusts Aparna Garimella overall

1. Karolina Stańczak
2. Deven Santosh Shah
3. Beatrice Savoldi
4. Isabelle Augenstein
5. H. A. Schwartz
6. Yang Trista Cao
7. Marco Gaido

Papers from Aparna Garimella's perspective

Ordered by how strongly the researchers Aparna Garimella trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Women’s Syntactic Resilience and Men’s Grammatical Luck: Gender-Bias in Part-of-Speech Tagging and Dependency Parsing (2019) — 64 citations
• "Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters (2023) — 332 citations
• Zooming in on Gender Differences in Social Media (2016) — 17 citations