Anindya Iqbal
Artificial Intelligence · 2021
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 51 citations into it
Whom Anindya Iqbal trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
- Christopher D. Manning (in Artificial Intelligence)
- Kenton C. T. Lee (in Artificial Intelligence)
- Yoshua Bengio (in Artificial Intelligence)
Papers from Anindya Iqbal's perspective
Ordered by how strongly the researchers Anindya Iqbal trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Language Models are Unsupervised Multitask Learners
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- Neural Machine Translation of Rare Words with Subword Units
Their papers
- CoDesc: A Large Code–Description Parallel Dataset (2021) — 41 citations
- BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla (2021) — 323 citations