Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
- Fan Feng
- Sara Magliacane
- 2023
- NeurIPS 2023
Publications
113 results at NeurIPS 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
Max-Sliced Mutual Information
- Dor Tsur
- Ziv Goldfeld
- et al.
- 2023
- NeurIPS 2023
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
- Erik Altman
- Jovan Blanusa
- et al.
- 2023
- NeurIPS 2023
Cookie Consent Has Disparate Impact on Estimation Accuracy
- Erik Miehling
- Rahul Nair
- et al.
- 2023
- NeurIPS 2023
On the role of entanglement and statistics in learning
- Srinivasan Arunachalam
- Vojtech Havlicek
- et al.
- 2023
- NeurIPS 2023
3D-LLM: Injecting the 3D World into Large Language Models
- Yining Hong
- Haoyu Zhen
- 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
Towards robust and generalizable representations of extracellular data using contrastive learning
- Ankit Vishnubhotla
- Charlotte Loh
- et al.
- 2023
- NeurIPS 2023