Paul Smolensky
10 papers · 2018–2024 · 7 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21)
π
Keyword Champion
(5)
π
Grand Slam
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(9)
Core Methods
(8)
Deep Learning
(6)
Architectures
(4)
Artificial Intelligence
(3)
Natural Language Processing
(3)
Core AI
(3)
Understanding
(3)
Learning Types Β· Machine Learning
(2)
Techniques
(2)
Applications
(1)
Learning Types Β· Deep Learning
(1)
Models
(1)
Optimization & Theory
(1)
Resources & Methods
(1)
Keywords
tensor product representation
(5)
neural network
(3)
symbolic structure
(3)
natural language
(2)
compositional generalization
(2)
vector representation
(2)
compositional structure
(2)
recurrent neural network
(2)
semantic analysis
(1)
image captioning
(1)
natural language processing
(1)
semantic role labeling
(1)
interpretable model
(1)
semantic parsing
(1)
structured representation
(1)
program synthesis
(1)
neuro-symbolic computation
(1)
word embedding
(1)
bidirectional lstm
(1)
syntactic analysis
(1)
Papers
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations
NeurIPS 2024
Toward Compositional Behavior in Neural Models: A Survey of Current Views
EMNLP 2024
Differentiable Tree Operations Promote Compositional Generalization
ICML 2023
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization
NAACL 2021
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
EMNLP 2020
Invertible Tree Embeddings using a Cryptographic Role Embedding Scheme
COLING 2020
Mapping natural-language problems to formal-language solutions using structured neural representations
ICML 2020
Predicting the Argumenthood of English Prepositional Phrases
AAAI 2019
RNNs implicitly implement tensor-product representations
ICLR 2019
Tensor Product Generation Networks for Deep NLP Modeling
NAACL 2018