Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
- Michael Hersche
- Francesco Di Stefano
- et al.
- 2023
- NeurIPS 2023
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113 results at NeurIPS 2023
Feature Importance Random Search for Hyperparameter Optimization of Data-Consistent Model Inversion
- Stephen Obonyo
- Isaiah Onando Mulang’
- et al.
- 2023
- NeurIPS 2023
A 3D super-resolution of wind fields via physics-informed pixel-wise self-attention generative adversarial network
- Takuya Kurihana
- Kyongmin Yeo
- et al.
- 2023
- NeurIPS 2023
Towards a Statistical Theory of Learning to Learn In-context with Transformers
- 2023
- NeurIPS 2023
AlphaFold Distillation for Protein Design
- Igor Melnyk
- Aurelie Lozano
- et al.
- 2023
- NeurIPS 2023
Hierarchical Reinforcement Learning with AI Planning Models
- Junkyu Lee
- Michael Katz
- et al.
- 2023
- NeurIPS 2023
Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks
- Shuli Jiang
- Swanand Ravindra Kadhe
- et al.
- 2023
- NeurIPS 2023
Estimating Fréchet bounds for validating programmatic weak supervision
- Felipe Maia Polo
- Mikhail Yurochkin
- et al.
- 2023
- NeurIPS 2023
Fusing Models with Complementary Expertise
- Hongyi Wang
- Felipe Maia Polo
- et al.
- 2023
- NeurIPS 2023
Large Language Model Routing with Benchmark Datasets
- Tal Shnitzer
- Anthony Ou
- et al.
- 2023
- NeurIPS 2023