Justin Lovelace
9 papers · 2020–2024 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (26) π£ Hot Topic Early Bird π₯ Unstoppable Β· Bronze
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Renaissance Researcher
(6)
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Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(4)
Artificial Intelligence
(3)
Natural Language Processing
(3)
Core AI
(3)
Core Methods
(3)
Learning Types
(3)
Knowledge & Reasoning
(2)
Application Areas
(2)
Applications
(2)
Architectures
(2)
Representation
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Speech & Audio
(1)
Keywords
knowledge graph completion
(2)
latent diffusion
(2)
diffusion model
(2)
transfer learning
(2)
constrained optimization
(1)
question answering
(1)
knowledge distillation
(1)
incremental learning
(1)
medical imaging
(1)
document retrieval
(1)
image captioning
(1)
language model
(1)
autoregressive model
(1)
entity embedding
(1)
convolutional neural network
(1)
language modeling
(1)
knowledge extraction
(1)
pre-trained language model
(1)
language generation
(1)
representation learning
(1)
Papers
Diffusion Guided Language Modeling
ACL 2024
Sample-Efficient Diffusion for Text-To-Speech Synthesis
Interspeech 2024
IncDSI: Incrementally Updatable Document Retrieval
ICML 2023
Latent Diffusion for Language Generation
NeurIPS 2023
A Framework for Adapting Pre-Trained Language Models to Knowledge Graph Completion
EMNLP 2022
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
ACL 2021
Team JARS: DialDoc Subtask 1 - Improved Knowledge Identification with Supervised Out-of-Domain Pretraining
ACL 2021
Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention
MLHC 2020
Learning to Generate Clinically Coherent Chest X-Ray Reports
EMNLP 2020