- 1 Generative AI to quantify uncertainty in weather forecasting ↗
- 2 AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks ↗
- 3 Computer-aided diagnosis for lung cancer screening ↗
- 4 Using AI to expand global access to reliable flood forecasts ↗
- 5 ScreenAI: A visual language model for UI and visually-situated language understanding ↗
- 6 SCIN: A new resource for representative dermatology images ↗
- 7 MELON: Reconstructing 3D objects from images with unknown poses ↗
- 8 HEAL: A framework for health equity assessment of machine learning performance ↗
- 9 Cappy: Outperforming and boosting large multi-task language models with a small scorer ↗
- 10 Talk like a graph: Encoding graphs for large language models ↗
- 11 Chain-of-table: Evolving tables in the reasoning chain for table understanding ↗
- 12 Health-specific embedding tools for dermatology and pathology ↗
- 13 Social learning: Collaborative learning with large language models ↗
- 14 Croissant: a metadata format for ML-ready datasets ↗
- 15 Google at APS 2024 ↗
- 16 VideoPrism: A foundational visual encoder for video understanding ↗
- 17 Advances in private training for production on-device language models ↗
- 18 Learning the importance of training data under concept drift ↗
- 19 DP-Auditorium: A flexible library for auditing differential privacy ↗
- 20 Graph neural networks in TensorFlow ↗
- 21 A decoder-only foundation model for time-series forecasting ↗
- 22 Intervening on early readouts for mitigating spurious features and simplicity bias ↗
- 23 MobileDiffusion: Rapid text-to-image generation on-device ↗
- 24 Mixed-input matrix multiplication performance optimizations ↗
- 25 Exphormer: Scaling transformers for graph-structured data ↗