Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks

Konstantinos Bousmalis, Nathan Silberman, David Dohan, +2

Target DomainEngineeringMachine LearningPixel-level Domain AdaptationWell-annotated Image Datasets +16

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

Adams Wei Yu, David Dohan, Minh-Thang Luong, +4

arXiv (Cornell University)

Rethinking Attention with Performers

Krzysztof Choromański, Valerii Likhosherstov, David Dohan, +10

arXiv (Cornell University)

Structured PredictionEngineeringMachine LearningFull-rank-attention TransformersMusic Psychology +16

Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks

Konstantinos Bousmalis, Nathan Silberman, David Dohan, +2

arXiv (Cornell University)

Artificial IntelligenceTarget DomainEngineeringMachine LearningPixel-level Domain Adaptation +15

Model-based reinforcement learning for biological sequence design

Christof Angermueller, David Dohan, David Belanger, +3

International Conference on Learning Representations

EngineeringMachine LearningModel TuningSequential LearningSynthetic Circuit +14

Learning Hierarchical Semantic Segmentations of LIDAR Data

David Dohan, Brian Matejek, Thomas Funkhouser

EngineeringMachine LearningBetter SegmentationsPoint Cloud ProcessingPoint Cloud +17

Is Transfer Learning Necessary for Protein Landscape Prediction?

Amir Shanehsazzadeh, David Belanger, David Dohan

arXiv (Cornell University)

Structured PredictionEngineeringMachine LearningMolecular BiologyRepresentation Learning +17

OpenAI o1 System Card

OpenAI, Aaron Jaech, Adam Tauman Kalai, +111

arXiv (Cornell University)

Artificial IntelligenceEngineeringSafety ScienceComputer ArchitectureAi Safety +16

Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers

Krzysztof Choromański, Valerii Likhosherstov, David Dohan, +2

arXiv (Cornell University)

Structured PredictionEngineeringMachine LearningLarge Language ModelRecurrent Neural Network +22

Show Your Work: Scratchpads for Intermediate Computation with Language Models

Maxwell Nye, Anders Andreassen, Guy Gur-Ari, +9

arXiv (Cornell University)

Artificial IntelligenceLlm Fine-tuningEngineeringLarge Language ModelIntermediate Computations +18