Md. Faisal Mahbub Chowdhury
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it
- Natural Language Processing — 34 citations into it
- Information Retrieval & Search — 27 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
- Evaluation & Benchmarks — 13 citations into it
- Retrieval-Augmented Generation — 10 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
Whom Md. Faisal Mahbub Chowdhury trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ilya Sutskever
- Fabio Petroni
- Yoshua Bengio
- Diederik P. Kingma
- Tomas Mikolov
- Alex Krizhevsky
- Oriol Vinyals
- Yann LeCun
- Kaiming He
Papers from Md. Faisal Mahbub Chowdhury's perspective
Ordered by how strongly the researchers Md. Faisal Mahbub Chowdhury trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- 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
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Robust Retrieval Augmented Generation for Zero-shot Slot Filling (2021) — 38 citations
- Re2G: Retrieve, Rerank, Generate (2022) — 164 citations