Jean Kaddour
8 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (3) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer
π
Cross-Pollinator
(13)
π
Interdisciplinary Bridge
π₯
Mega-Team
(33)
β
The Questioner
(2)
Conferences
NIPS (5)
ICLR (2)
NAACL (1)
Top co-authors
Keywords
model compression
(1)
causal inference
(1)
active learning
(1)
benchmark evaluation
(1)
efficient training
(1)
probabilistic modeling
(1)
self-supervised learning
(1)
sharpness-aware minimization
(1)
loss landscape
(1)
language understanding
(1)
graph embedding
(1)
batch selection
(1)
learning rate decay
(1)
probabilistic model
(1)
latent variable model
(1)
language model
(1)
molecular graph
(1)
treatment effect estimation
(1)
stochastic weight averaging
(1)
structural causal model
(1)
Papers
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
ICLR 2025
Are We Done with MMLU?
NAACL 2025
Evaluating Self-Supervised Learning for Molecular Graph Embeddings
NIPS 2023
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
NIPS 2023
DAG Learning on the Permutahedron
ICLR 2023
When Do Flat Minima Optimizers Work?
NIPS 2022
Causal Effect Inference for Structured Treatments
NIPS 2021
Probabilistic Active Meta-Learning
NIPS 2020