Arun Tejasvi Chaganty
Artificial Intelligence · 2015–2022
A researcher in the Science corpus: 7 papers; trusts 173 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 198 citations into it; #11,104 of 35,345 by trust here, #10,065 by citations
- Natural Language Processing — 148 citations into it; #2,506 of 5,688 by trust here, #2,660 by citations
- Computer Vision and Pattern Recognition — 75 citations into it
- Evaluation & Benchmarks — 48 citations into it; #1,312 of 3,147 by trust here, #1,934 by citations
- Information Retrieval & Search — 35 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Computational Mathematics — 7 citations into it; #450 of 612 by trust here, #504 by citations
- Reinforcement Learning — 6 citations into it
Whom Arun Tejasvi Chaganty trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Christopher D. Manning
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Chin-Yew Lin
- Richard Socher
- Yann LeCun
- Alon Lavie
Who trusts Arun Tejasvi Chaganty overall
- Johnny Tian-Zheng Wei
- Rishi Bommasani
- Yang Gao
- Elizabeth Clark
- Rowan Zellers
- Faisal Ladhak
- Daniel Khashabi
- Ori Shapira
- Tianyi Zhang
- Yuhao Zhang
Papers from Arun Tejasvi Chaganty's perspective
Ordered by how strongly the researchers Arun Tejasvi Chaganty trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- The price of debiasing automatic metrics in natural language evalaution (2018) — 135 citations
- Dialog Inpainting: Turning Documents into Dialogs (2022) — 77 citations
- Attributed Text Generation via Post-hoc Research and Revision (2022) — 27 citations
- RARR: Researching and Revising What Language Models Say, Using Language Models (2022) — 339 citations
- On-the-Job Learning with Bayesian Decision Theory (2015) — 23 citations
- Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue (2019) — 10 citations
- Tensor Factorization via Matrix Factorization (2015) — 86 citations