Jeevana Priya Inala

Information Systems · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 38 citations into it
• Artificial Intelligence — 37 citations into it
• Software — 25 citations into it
• Natural Language Processing — 24 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Large Language Models — 13 citations into it

Whom Jeevana Priya Inala trusts overall

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

1. Michihiro Yasunaga
2. February Friday
3. Percy Liang
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Yoshua Bengio
7. Alex Krizhevsky
8. Ilya Sutskever

Papers from Jeevana Priya Inala's perspective

Ordered by how strongly the researchers Jeevana Priya Inala 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. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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

• Demystifying GPT Self-Repair for Code Generation (2023) — 81 citations
• Execution-based Evaluation for Data Science Code Generation Models (2022) — 43 citations