Prasenjit Majumder
Artificial Intelligence · 2019
A researcher in the Science corpus: 2 papers; trusts 81 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it
- Natural Language Processing — 39 citations into it
- Safety, Robustness & Interpretability — 8 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Prasenjit Majumder trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chin-Yew Lin
- Ilya Sutskever
- Tomas Mikolov
- Dragomir R. Radev
- Yoshua Bengio
- Sumit Chopra
- Dzmitry Bahdanau
- Hoa Trang Dang
- Hui-Ching Lin
- Geoffrey E. Hinton
Papers from Prasenjit Majumder's perspective
Ordered by how strongly the researchers Prasenjit Majumder trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
Their papers
- From Extractive to Abstractive Summarization: A Journey (2019) — 42 citations
- Overview of the HASOC track at FIRE 2019: Hate Speech and Offensive Content Identification in Indo-European Languages (2019) — 407 citations