Ananth Gottumukkala
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 138 citations into it
- Natural Language Processing — 117 citations into it
- Evaluation & Benchmarks — 66 citations into it
- Computer Vision and Pattern Recognition — 52 citations into it
Whom Ananth Gottumukkala trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marco Tulio Ribeiro
- Alex Wang
- Jacob Devlin
- Pranav Rajpurkar
- Geoffrey E. Hinton
- Yoshua Bengio
- Alon Talmor
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
Papers from Ananth Gottumukkala's perspective
Ordered by how strongly the researchers Ananth Gottumukkala trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- 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)
Their papers
- Evaluating Models’ Local Decision Boundaries via Contrast Sets (2020) — 462 citations
- Evaluating NLP Models via Contrast Sets (2020) — 85 citations
- Comprehensive Multi-Dataset Evaluation of Reading Comprehension (2019) — 9 citations