Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
- Fan Feng
- Sara Magliacane
- 2023
- NeurIPS 2023
Publications
1827 results in 2023
Towards Label Position Bias in Graph Neural Networks
- Haoyu Han
- Xiaorui Liu
- et al.
- 2023
- NeurIPS 2023
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation
- 2023
- NeurIPS 2023
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
- Tsun-hsuan Wang
- Juntian Zheng
- et al.
- 2023
- NeurIPS 2023
Modulated Neural ODEs
- Ilze Amanda Auzina
- Cagatay Yildiz
- et al.
- 2023
- NeurIPS 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- Giorgio Giannone
- Akash Srivastava
- et al.
- 2023
- NeurIPS 2023
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
- Ilias Diakonikolas
- Daniel Kane
- et al.
- 2023
- NeurIPS 2023
Non-Stationary Bandits with Auto-Regressive Temporal Dependency
- Qinyi Chen
- Negin Golrezaei
- et al.
- 2023
- NeurIPS 2023
RADAR: Robust AI-Text Detection via Adversarial Learning
- Xiaomeng Hu
- Pin-Yu Chen
- et al.
- 2023
- NeurIPS 2023
Transformers over Directed Acyclic Graphs
- Yuankai Luo
- Veronika Thost
- et al.
- 2023
- NeurIPS 2023