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Systematic Generalization

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Showing 51–75 of 126 papers

TitleStatusHype
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language InferenceCode0
On a Built-in Conflict between Deep Learning and Systematic GeneralizationCode0
On the generalization capacity of neural networks during generic multimodal reasoningCode0
A Hybrid System for Systematic Generalization in Simple Arithmetic ProblemsCode0
On The Specialization of Neural ModulesCode0
ORCHARD: A Benchmark For Measuring Systematic Generalization of Multi-Hierarchical ReasoningCode0
Enabling Systematic Generalization in Abstract Spatial Reasoning through Meta-Learning for CompositionalityCode0
CLOSURE: Assessing Systematic Generalization of CLEVR ModelsCode0
Slot Abstractors: Toward Scalable Abstract Visual ReasoningCode0
SyGNS: A Systematic Generalization Testbed Based on Natural Language SemanticsCode0
Revisit Systematic Generalization via Meaningful LearningCode0
A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement LearningCode0
Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting ModelsCode0
Attention-based Iterative Decomposition for Tensor Product RepresentationCode0
Systematic Generalization: What Is Required and Can It Be Learned?Code0
HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection ModelsCode0
Systematic Reasoning About Relational Domains With Graph Neural NetworksCode0
Systematic Visual Reasoning through Object-Centric Relational AbstractionCode0
How Modular Should Neural Module Networks Be for Systematic Generalization?Code0
Identifiable Object-Centric Representation Learning via Probabilistic Slot AttentionCode0
Transformer Module Networks for Systematic Generalization in Visual Question AnsweringCode0
Enhancing Interpretability and Interactivity in Robot Manipulation: A Neurosymbolic ApproachCode0
Unveiling the Mechanisms of Explicit CoT Training: How CoT Enhances Reasoning GeneralizationCode0
What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structureCode0
Compositional generalization in a deep seq2seq model by separating syntax and semanticsCode0
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