Rashel Moritz
Artificial Intelligence · 2023–2024
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 93 citations into it
Whom Rashel Moritz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Rashel Moritz's perspective
Ordered by how strongly the researchers Rashel Moritz trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Long Short-Term Memory
- Improved Techniques for Training GANs
- Gradient-based learning applied to document recognition
- AUTO-ENCODING VARIATIONAL BAYES
Their papers
- Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale (2023) — 551 citations
- Audiobox: Unified Audio Generation with Natural Language Prompts (2023) — 175 citations
- Movie Gen: A Cast of Media Foundation Models (2024) — 592 citations