Bartosz Putrycz
Artificial Intelligence · 2018–2024
A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 103 citations into it; #26,454 of 35,345 by trust here, #13,760 by citations
- Signal Processing — 69 citations into it; #5,577 of 7,572 by trust here, #2,343 by citations
- Speech & Audio — 52 citations into it
Whom Bartosz Putrycz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Bartosz Putrycz overall
Papers from Bartosz Putrycz's perspective
Ordered by how strongly the researchers Bartosz Putrycz 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- WaveNet: A Generative Model for Raw Audio
- ImageNet classification with deep convolutional neural networks
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
- Gradient-based learning applied to document recognition
Their papers
- BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (2024) — 125 citations
- Universal Neural Vocoding with Parallel Wavenet (2021) — 46 citations
- Robust universal neural vocoding (2018) — 19 citations
- Towards Achieving Robust Universal Neural Vocoding (2018) — 96 citations