Hamid Palangi
Artificial Intelligence · with Awadallah · 2022–2023
A researcher in the Science corpus: 5 papers; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 123 citations into it
- Natural Language Processing — 73 citations into it
- Safety, Robustness & Interpretability — 51 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it
- Evaluation & Benchmarks — 27 citations into it
Whom Hamid Palangi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Richard Socher
- Alex Graves
- Jason Aaron Edward Weston
Papers from Hamid Palangi's perspective
Ordered by how strongly the researchers Hamid Palangi trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- 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
- 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
- Sparks of Artificial General Intelligence: Early experiments with GPT-4 (2023) — 4,318 citations
- ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection (2022) — 626 citations
- Orca: Progressive Learning from Complex Explanation Traces of GPT-4 (2023) — 421 citations
- An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models (2023) — 31 citations
- Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors (2022) — 315 citations