Co-occurring keywords · papers mentioning both
Papers
Sequence-to-Sequence Learning with Latent Neural Grammars
NeurIPS 2021
Span-based Semantic Parsing for Compositional Generalization
ACL 2021
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
NeurIPS 2021
The Role of Syntactic Planning in Compositional Image Captioning
EACL 2021
What they do when in doubt: a study of inductive biases in seq2seq learners
ICLR 2021
A Benchmark for Systematic Generalization in Grounded Language Understanding
NeurIPS 2020
A causal view of compositional zero-shot recognition
NeurIPS 2020
COGS: A Compositional Generalization Challenge Based on Semantic Interpretation
EMNLP 2020
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning
EMNLP 2020
Compositional Generalization by Factorizing Alignment and Translation
ACL 2020
Compositional Generalization by Learning Analytical Expressions
NeurIPS 2020
Compositional Generalization via Neural-Symbolic Stack Machines
NeurIPS 2020
Compositional Language Continual Learning
ICLR 2020
Hierarchical Poset Decoding for Compositional Generalization in Language
NeurIPS 2020
Improving Compositional Generalization in Semantic Parsing
EMNLP 2020
Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference
ACL 2020
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
ICLR 2020
Multimodal Graph Networks for Compositional Generalization in Visual Question Answering
NeurIPS 2020
Permutation Equivariant Models for Compositional Generalization in Language
ICLR 2020
Sequence-Level Mixed Sample Data Augmentation
EMNLP 2020
Visually Grounded Continual Learning of Compositional Phrases
EMNLP 2020
Automatically Composing Representation Transformations as a Means for Generalization
ICLR 2019
CNNs found to jump around more skillfully than RNNs: Compositional Generalization in Seq2seq Convolutional Networks
ACL 2019
Compositional Generalization for Primitive Substitutions
EMNLP 2019
Compositional generalization through meta sequence-to-sequence learning
NeurIPS 2019