Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
- Michael Hersche
- Francesco Di Stefano
- et al.
- 2023
- NeurIPS 2023
Publications
113 results at NeurIPS 2023
Compositional Foundation Models for Hierarchical Planning
- Anurag Ajay
- Seungwook Han
- et al.
- 2023
- NeurIPS 2023
Risk Assessment and Statistical Significance in the Age of Foundation Models
- Apoorva Nitsure
- Youssef Mroueh
- et al.
- 2023
- NeurIPS 2023
Causal Markov Blanket Representation Learning for Out-of-distribution Generalization
- Naiyu Yin
- Hanjing Wang
- et al.
- 2023
- NeurIPS 2023
Machine learning derived sub-seasonal to seasonal extremes
- Daniel Salles Civitarese
- Bianca Zadrozny
- 2023
- NeurIPS 2023
Cost-Aware Counterfactuals for Black Box Explanations
- Natalia Martinez Gil
- Kanthi Sarpatwar
- et al.
- 2023
- NeurIPS 2023
FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs
- 2023
- NeurIPS 2023
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network
- Akihiro Kishimoto
- Hiroshi Kajino
- et al.
- 2023
- NeurIPS 2023
Influence Based Approaches to Algorithmic Fairness: A Closer Look
- Soumya Ghosh
- Prasanna Sattigeri
- et al.
- 2023
- NeurIPS 2023
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories
- 2023
- NeurIPS 2023