Systematic Generalization
61 papers with code • 0 benchmarks • 7 datasets
Benchmarks
These leaderboards are used to track progress in Systematic Generalization
Libraries
Use these libraries to find Systematic Generalization models and implementations
SCAN
GSCAN
Mathematics Dataset
PCFG SET
S2B
Latest papers with no code
On the Generalization of Learned Structured Representations
In representation learning, large datasets are leveraged to learn generic data representations that may be useful for efficient learning of arbitrary downstream tasks.
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
In this paper, we investigate the effectiveness of OCR pre-training for image-based reinforcement learning via empirical experiments.
A Short Survey of Systematic Generalization
Recent improvements from different aspects are discussed.
Neural Systematic Binder
While token-like structured knowledge representations are naturally provided in text, it is elusive how to obtain them for unstructured modalities such as scene images.
Achieving and Understanding Out-of-Distribution Generalization in Systematic Reasoning in Small-Scale Transformers
As a step toward understanding how transformer-based systems generalize, we explore the question of OODG in small scale transformers trained with examples from a known distribution.
Neural-Symbolic Recursive Machine for Systematic Generalization
In experiments, NSR achieves state-of-the-art performance in three benchmarks from different domains: SCAN for semantic parsing, PCFG for string manipulation, and HINT for arithmetic reasoning.
Systematic Generalization and Emergent Structures in Transformers Trained on Structured Tasks
Transformer networks have seen great success in natural language processing and machine vision, where task objectives such as next word prediction and image classification benefit from nuanced context sensitivity across high-dimensional inputs.
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering
In a simple setting similar to CLEVR, we find that CL representations also improve systematic generalization, and even match the performance of representations from a larger, supervised, ImageNet-pretrained model.
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization
In this setting, the agent can take a finite amount of reward-free interactions from a subset of these environments.
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
Extensive experiments show that by incorporating an algebraic treatment, the ALANS learner outperforms various pure connectionist models in domains requiring systematic generalization.
