Towards a Statistical Theory of Learning to Learn In-context with Transformers
- 2023
- NeurIPS 2023
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113 results at NeurIPS 2023
International Workshop on Federated Learning in the Age of Foundation Models
- Jinghui Chen
- Lixin Fan
- et al.
- 2023
- NeurIPS 2023
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation
- 2023
- NeurIPS 2023
Non-Stationary Bandits with Auto-Regressive Temporal Dependency
- Qinyi Chen
- Negin Golrezaei
- et al.
- 2023
- NeurIPS 2023
Adaptive Online Replanning with Diffusion Models
- Siyuan Zhou
- Yilun Du
- et al.
- 2023
- NeurIPS 2023
3D-LLM: Injecting the 3D World into Large Language Models
- Yining Hong
- Haoyu Zhen
- et al.
- 2023
- NeurIPS 2023
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
- Tsun-hsuan Wang
- Juntian Zheng
- et al.
- 2023
- NeurIPS 2023
Long Sequence Hopfield Memory
- Hamza Tahir Chaudhry
- Jacob Zavatone-veth
- et al.
- 2023
- NeurIPS 2023
Energy Transformer
- Benjamin Hoover
- Yuchen Liang
- et al.
- 2023
- NeurIPS 2023
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
- Robert Alison
- Anthony Stephenson
- et al.
- 2023
- NeurIPS 2023