Philip Schulz
9 papers · 2016–2024 · 7 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(23)
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Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Natural Language Processing
(5)
Learning Paradigms
(3)
Understanding
(3)
Deep Learning
(2)
Application Areas
(2)
Applications
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core Methods
(2)
Learning Types
(2)
Models
(2)
Optimization & Theory
(2)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Keywords
cross-lingual transfer
(2)
dependency parsing
(2)
unsupervised learning
(2)
variational inference
(2)
deep generative model
(2)
part-of-speech tagging
(1)
parallel corpus
(1)
uncertainty quantification
(1)
word alignment
(1)
gibbs sampler
(1)
structured prediction
(1)
sequence tagging
(1)
neural machine translation
(1)
language grounding
(1)
statistical machine translation
(1)
risk minimization
(1)
gibbs sampling
(1)
density ratio estimation
(1)
source-free domain adaptation
(1)
bayesian inference
(1)
Papers
Rejection via Learning Density Ratios
NeurIPS 2024
Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data
NAACL 2022
PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation
EACL 2021
PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging
SemEval 2021
Grounding learning of modifier dynamics: An application to color naming
EMNLP 2019
A Stochastic Decoder for Neural Machine Translation
ACL 2018
Variational Inference and Deep Generative Models
ACL 2018
Fast Collocation-Based Bayesian HMM Word Alignment
COLING 2016
Word Alignment without NULL Words
ACL 2016