David Dohan
Publications by Year
Research Areas
Topic Modeling, Multimodal Machine Learning Applications, Machine Learning in Bioinformatics, Genomics and Phylogenetic Studies, Natural Language Processing Techniques
Most-Cited Works
- → Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks(2017)1,620 cited
- → QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension(2018)417 cited
- → Rethinking Attention with Performers(2020)122 cited
- Model-based reinforcement learning for biological sequence design(2020)
- → OpenAI o1 System Card(2024)33 cited
- → Learning Hierarchical Semantic Segmentations of LIDAR Data(2015)33 cited
- → Is Transfer Learning Necessary for Protein Landscape Prediction?(2020)33 cited
- → Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers(2020)29 cited
- → Show Your Work: Scratchpads for Intermediate Computation with Language Models(2021)16 cited