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