Towards a Statistical Theory of Learning to Learn In-context with Transformers
- 2023
- NeurIPS 2023
Workshop paper
Publications
710 results for Generative AI
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- IEDM 2023
Invited talkArea Sampling for Training Geospatial Foundation Models
- 2023
- AGU Fall 2023
Conference paperData Leakage in Applying Geospatial Foundation Models
- 2023
- AGU Fall 2023
Conference paperAligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- Giorgio Giannone
- Akash Srivastava
- et al.
- 2023
- NeurIPS 2023
Conference paperUncovering and Quantifying Social Biases in Code Generation
- Yan Liu
- Xiaokang Chen
- et al.
- 2023
- NeurIPS 2023
Conference paperVillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
- Sheng-yen Cho
- Pin-Yu Chen
- et al.
- 2023
- NeurIPS 2023
Conference paper3D-LLM: Injecting the 3D World into Large Language Models
- Yining Hong
- Haoyu Zhen
- et al.
- 2023
- NeurIPS 2023
Conference paperTowards More Likely Models for AI Planning
- Turguy Caglar
- Sirine Belhaj
- et al.
- 2023
- NeurIPS 2023
Workshop paperCharacterizing pre-trained and task-adapted molecular representations
- Celia Cintas
- Payel Das
- et al.
- 2023
- NeurIPS 2023
Workshop paper