Michael Boratko
20 papers · 2018–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (38) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(10)
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Grand Slam
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Dynamic Duo
(19)
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Topic Evolution
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Keyword Champion
(3)
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Trend Setter
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Keyword Collector
(89)
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(17)
Core Methods
(13)
Artificial Intelligence
(9)
Natural Language Processing
(7)
Deep Learning
(6)
Knowledge & Reasoning
(6)
Representation
(6)
Applications
(5)
Core AI
(5)
Bayesian & Probabilistic
(4)
Models
(4)
Optimization & Theory
(4)
Understanding
(3)
Mathematics & Optimization
(2)
Learning Types
(2)
Keywords
box embedding
(10)
directed graph
(3)
representation learning
(3)
graph representation
(3)
question answering
(3)
probabilistic modeling
(3)
knowledge graph
(3)
gumbel distribution
(2)
graph representation learning
(2)
hyperbolic embedding
(2)
probabilistic embedding
(2)
geometric embedding
(2)
science question
(2)
language model
(2)
hierarchical structure
(2)
commonsense reasoning
(2)
knowledge classification
(2)
inductive bia
(2)
automated reasoning
(1)
knowledge base
(1)
Papers
A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
ICML 2025
LOFT: Scalable and More Realistic Long-Context Evaluation
NAACL 2025
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks
ICML 2024
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures
ACL 2024
Learning Representations for Hierarchies with Minimal Support
NeurIPS 2024
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity
AAAI 2022
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings
ICLR 2022
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings
NeurIPS 2022
Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings
ACL 2022
Box Embeddings: An open-source library for representation learning using geometric structures
EMNLP 2021
Box-To-Box Transformations for Modeling Joint Hierarchies
ACL 2021
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
NeurIPS 2021
Min/max stability and box distributions
UAI 2021
Modeling Fine-Grained Entity Types with Box Embeddings
ACL 2021
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning
NAACL 2021
Improving Local Identifiability in Probabilistic Box Embeddings
NeurIPS 2020
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning
EMNLP 2020
Smoothing the Geometry of Probabilistic Box Embeddings
ICLR 2019
An Interface for Annotating Science Questions
EMNLP 2018
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset
ACL 2018