Amey Karkare
Natural Language Processing · 2015–2018
A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 23 citations into it; #4,367 of 5,688 by trust here, #3,754 by citations
- Software — 20 citations into it; #877 of 1,227 by trust here, #770 by citations
- Artificial Intelligence — 19 citations into it; #34,085 of 35,345 by trust here, #22,463 by citations
- Computer Networks and Communications — 10 citations into it
- Model Architectures — 6 citations into it
Whom Amey Karkare trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Luke S. Zettlemoyer
- Yoshua Bengio
- Kyunghyun Cho
- Sumit Gulwani
- Nal Kalchbrenner
- Geoffrey E. Hinton
Who trusts Amey Karkare overall
Papers from Amey Karkare's perspective
Ordered by how strongly the researchers Amey Karkare trusts endorse each paper. Same corpus, a different order for every researcher.
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Program Synthesis Using Natural Language (2015) — 161 citations
- Compilation Error Repair: For the Student Programs, From the Student Programs (2018) — 100 citations
- Automatic Grading and Feedback using Program Repair for Introductory Programming Courses (2017) — 95 citations