Michael Boratko
22 papers · 2018–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (10)
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Hot Topic Early Bird
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(7)
🤝
Dynamic Duo
(21)
🏆
Grand Slam
🔬
Deep Specialist
(10)
⚡
Prolific Year
(8)
📈
Trend Setter
💎
Century Club
(22)
🗃️
Keyword Collector
(73)
🔥
Unstoppable
(5)
Conferences
ACL (5)
NIPS (4)
EMNLP (3)
ICLR (2)
ICML (2)
IJCNLP (2)
NAACL (2)
AAAI (1)
UAI (1)
Top co-authors
Keywords
box embedding
(10)
representation learning
(4)
knowledge graph
(4)
graph representation
(3)
directed graph
(3)
geometric embedding
(3)
question answering
(3)
gumbel distribution
(2)
fine-grained entity typing
(2)
knowledge classification
(2)
graph representation learning
(2)
probabilistic embedding
(2)
language model
(2)
hierarchical structure
(2)
hyperbolic embedding
(2)
science question
(2)
inductive bia
(2)
probability distribution
(1)
hierarchical representation
(1)
knowledge representation
(1)
Papers
LOFT: Scalable and More Realistic Long-Context Evaluation
NAACL 2025
A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
ICML 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
NIPS 2024
Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings
ACL 2022
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings
NIPS 2022
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity
AAAI 2022
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings
ICLR 2022
Box-To-Box Transformations for Modeling Joint Hierarchies
ACL 2021
Modeling Fine-Grained Entity Types with Box Embeddings
ACL 2021
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
NIPS 2021
Box Embeddings: An open-source library for representation learning using geometric structures
EMNLP 2021
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning
NAACL 2021
Box-To-Box Transformations for Modeling Joint Hierarchies
IJCNLP 2021
Min/max stability and box distributions
UAI 2021
Modeling Fine-Grained Entity Types with Box Embeddings
IJCNLP 2021
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning
EMNLP 2020
Improving Local Identifiability in Probabilistic Box Embeddings
NIPS 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