Issam Laradji
14 papers · 2015–2023 · 9 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (27) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Keyword Champion
🧭
Keyword Pioneer
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Mega-Team · Squad
🌈
Renaissance Researcher
(5)
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Unstoppable · Bronze
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Keyword Collector
(64)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(12)
Application Areas
(5)
Learning Types · Machine Learning
(5)
Computer Vision
(4)
Deep Learning
(4)
Natural Language Processing
(4)
Generation
(4)
Optimization & Theory
(4)
Applications
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Core AI
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Keywords
large language model
(3)
data augmentation
(3)
few-shot learning
(2)
semi-supervised learning
(2)
convergence rate
(2)
knowledge distillation
(2)
intent classification
(2)
text classification
(2)
image generation
(1)
medical imaging
(1)
stochastic gradient descent
(1)
weakly supervised learning
(1)
pseudo labeling
(1)
hyperparameter optimization
(1)
data annotation
(1)
embedding space
(1)
extractive summarization
(1)
point cloud
(1)
prompt engineering
(1)
convex optimization
(1)
Papers
LLM aided semi-supervision for efficient Extractive Dialog Summarization
EMNLP 2023
OCR-VQGAN: Taming Text-Within-Image Generation
WACV 2023
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation
EMNLP 2023
TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification
EMNLP 2023
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
ACL 2022
Kubric: A Scalable Dataset Generator
CVPR 2022
Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence
JMLR 2022
Neural Point Light Fields
CVPR 2022
A Weakly Supervised Consistency-Based Learning Method for COVID-19 Segmentation in CT Images
WACV 2021
Beyond Trivial Counterfactual Explanations With Diverse Valuable Explanations
ICCV 2021
Learning Data Augmentation With Online Bilevel Optimization for Image Classification
WACV 2021
Embedding Propagation: Smoother Manifold for Few-Shot Classification
ECCV 2020
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
NeurIPS 2019
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
ICML 2015