Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
- Zhiqing Sun
- Yikang Shen
- et al.
- 2023
- NeurIPS 2023
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Efficient Equivariant Transfer Learning from Pretrained Models
- Sourya Basu
- Pulkit Katdare
- et al.
- 2023
- NeurIPS 2023
Improved Self-supervised Molecular Representation Learning using Persistent Homology
- Yuankai Luo
- Lei Shi
- 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
Adaptive Online Replanning with Diffusion Models
- Siyuan Zhou
- Yilun Du
- et al.
- 2023
- NeurIPS 2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
- Sivan Doveh
- Assaf Arbelle
- 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
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
- Robert Alison
- Anthony Stephenson
- et al.
- 2023
- NeurIPS 2023
Towards Label Position Bias in Graph Neural Networks
- Haoyu Han
- Xiaorui Liu
- et al.
- 2023
- NeurIPS 2023