Shahbuland Matiana
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 49 citations into it
- Natural Language Processing — 32 citations into it
- Computer Vision and Pattern Recognition — 30 citations into it
- Generative Models — 11 citations into it
- Evaluation & Benchmarks — 10 citations into it
Whom Shahbuland Matiana trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chin-Yew Lin
- Natalie Schluter
- Alec Radford
- Geoffrey E. Hinton
- Angela Fan
- Kaiming He
- Jacob Devlin
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
Who trusts Shahbuland Matiana overall
Papers from Shahbuland Matiana's perspective
Ordered by how strongly the researchers Shahbuland Matiana 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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)
Their papers
- Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation (2023) — 1,061 citations
- Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning (2022) — 15 citations
- Cut the CARP: Fishing for zero-shot story evaluation (2021) — 16 citations