Jay Mahadeokar
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 84 citations into it
Whom Jay Mahadeokar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jay Mahadeokar's perspective
Ordered by how strongly the researchers Jay Mahadeokar 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)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Layer Normalization
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
Their papers
- Transformer-Based Acoustic Modeling for Hybrid Speech Recognition (2019) — 266 citations
- Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale (2023) — 551 citations
- The Llama 3 Herd of Models (2024) — 17,085 citations