Compositional generalization through abstract representations in human and artificial neural networks
- Takuya Ito
- Tim Klinger
- et al.
- 2022
- NeurIPS 2022
Publications
Date
Featured collections
Popular topics
Deep Compression of Pre-trained Transformer Models
- Naigang Wang
- Chi-Chun Liu
- et al.
- 2022
- NeurIPS 2022
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
- Songtao Lu
- Siliang Zeng
- et al.
- 2022
- NeurIPS 2022
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
- Ximeng Sun
- Ping Hu
- et al.
- 2022
- NeurIPS 2022
Procedural Image Programs for Representation Learning
- Manel Baradad
- Chun Fu Chen
- et al.
- 2022
- NeurIPS 2022
Distributional Reinforcement Learning for Risk-Sensitive Policies
- Shiau Hong Lim
- Ilyas Malik
- 2022
- NeurIPS 2022
Self-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation
- Peihao Chen
- Dongyu Ji
- et al.
- 2022
- NeurIPS 2022
Continual Learning In Environments With Polynomial Mixing Times
- Matthew Riemer
- Sharath Chandra Raparthy
- et al.
- 2022
- NeurIPS 2022
Hierarchical Lattice Layer for Partially Monotone Neural Networks
- Hiroki Yanagisawa
- Kohei Miyaguchi
- et al.
- 2022
- NeurIPS 2022
Hedging as Reward Augmentation in Probabilistic Graphical Models
- Debarun Bhattacharjya
- Radu Marinescu
- 2022
- NeurIPS 2022