Pratyay Banerjee
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 5 papers; trusts 504 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 117 citations into it; #16,487 of 35,345 by trust here, #14,438 by citations
- Computer Vision and Pattern Recognition — 93 citations into it; #18,752 of 21,575 by trust here, #12,689 by citations
- Natural Language Processing — 93 citations into it; #4,507 of 5,688 by trust here, #4,032 by citations
- Evaluation & Benchmarks — 46 citations into it
- Multimodal Learning — 27 citations into it
- Information Retrieval & Search — 18 citations into it; #902 of 1,022 by trust here, #821 by citations
- Large Language Models — 15 citations into it
- Question Answering & Reading Comprehension — 14 citations into it; #269 of 335 by trust here, #287 by citations
Whom Pratyay Banerjee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jacob Devlin
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Peter Clark
- Tushar Khot
- Alex Krizhevsky
- Kaiming He
- Ilya Sutskever
- Yann LeCun
Who trusts Pratyay Banerjee overall
- Chitta Baral
- Weiwen Xu
- Arindam Mitra
- Swaroop Mishra
- Zhengzhong Liang
- Man Luo
- Yang Deng
- Jiacheng Liu
- Steven Bethard
- Huihui Zhang
Papers from Pratyay Banerjee's perspective
Ordered by how strongly the researchers Pratyay Banerjee 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)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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)
- 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
- Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning (2020) — 68 citations
- How Additional Knowledge can Improve Natural Language Commonsense Question Answering (2019) — 32 citations
- Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering (2021) — 98 citations
- Knowledge Fusion and Semantic Knowledge Ranking for Open Domain Question Answering (2020) — 24 citations
- Careful Selection of Knowledge to Solve Open Book Question Answering (2019) — 74 citations