Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
- Weichao Mao
- Haoran Qiu
- et al.
- 2023
- NeurIPS 2023
Publications
Efficient Equivariant Transfer Learning from Pretrained Models
- Sourya Basu
- Pulkit Katdare
- et al.
- 2023
- NeurIPS 2023
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network
- Yuting Hu
- Jiajie Li
- et al.
- 2023
- NeurIPS 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization
- Jungwuk Park
- Dong-jun Han
- et al.
- 2023
- NeurIPS 2023
Learning Human Action Recognition Representations Without Real Humans
- Howard Zhong
- Samarth Mishra
- et al.
- 2023
- NeurIPS 2023
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
- Zhiqing Sun
- Yikang Shen
- et al.
- 2023
- NeurIPS 2023
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
- Hsiao-yu Tung
- Mingyu Ding
- et al.
- 2023
- NeurIPS 2023
Credal Marginal MAP
- Radu Marinescu
- Debarun Bhattacharjya
- et al.
- 2023
- NeurIPS 2023
The Impact of Positional Encoding on Length Generalization in Transformers
- Amirhossein Kazemnejad
- Inkit Padhi
- et al.
- 2023
- NeurIPS 2023
Towards robust and generalizable representations of extracellular data using contrastive learning
- Ankit Vishnubhotla
- Charlotte Loh
- et al.
- 2023
- NeurIPS 2023