Melanie Kambadur
Artificial Intelligence · 2022–2024
A researcher in the Science corpus: 6 papers; trusts 119 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 296 citations into it
- Natural Language Processing — 199 citations into it
- Safety, Robustness & Interpretability — 109 citations into it
- Computer Vision and Pattern Recognition — 58 citations into it
- Information Systems — 28 citations into it
- Sociology and Political Science — 22 citations into it
- Optimization & Training — 20 citations into it
- Safety Research — 17 citations into it
Whom Melanie Kambadur trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jason Aaron Edward Weston
- Eric Michael Smith
- Emily Dinan
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Kurt Shuster
- Alec Radford
- Alex Krizhevsky
Papers from Melanie Kambadur's perspective
Ordered by how strongly the researchers Melanie Kambadur 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)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Llama 2: Open Foundation and Fine-Tuned Chat Models (2023) — 17,670 citations
- “I’m sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset (2022) — 207 citations
- BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage (2022) — 297 citations
- A Theory on Adam Instability in Large-Scale Machine Learning (2023) — 56 citations
- "I'm sorry to hear that": finding bias in language models with a holistic descriptor dataset (2022) — 19 citations
- The Llama 3 Herd of Models (2024) — 17,085 citations