Jean Kaddour
8 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22)
👥
Mega-Team · Squad
❓
The Questioner
(2)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Core AI
(5)
Learning Types · Machine Learning
(4)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(3)
Application Areas
(2)
Optimization & Theory · Deep Learning
(2)
Interdisciplinary
(1)
Natural Language Processing
(1)
Architectures
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Resources & Methods
(1)
Keywords
large language model
(2)
active learning
(1)
learning rate decay
(1)
efficient training
(1)
probabilistic modeling
(1)
causal discovery
(1)
self-supervised learning
(1)
code generation
(1)
sharpness-aware minimization
(1)
loss landscape
(1)
continuous optimization
(1)
language understanding
(1)
graph embedding
(1)
batch selection
(1)
benchmark evaluation
(1)
graph structure learning
(1)
probabilistic model
(1)
latent variable model
(1)
language model
(1)
causal inference
(1)
Papers
Are We Done with MMLU?
NAACL 2025
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
ICLR 2025
DAG Learning on the Permutahedron
ICLR 2023
Evaluating Self-Supervised Learning for Molecular Graph Embeddings
NeurIPS 2023
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
NeurIPS 2023
When Do Flat Minima Optimizers Work?
NeurIPS 2022
Causal Effect Inference for Structured Treatments
NeurIPS 2021
Probabilistic Active Meta-Learning
NeurIPS 2020