Vivien Cabannes
11 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (16) π§ Keyword Pioneer
π
Conference Polyglot
(5)
π
Triple Crown
π
Century Club
(11)
β
The Questioner
π₯
Unstoppable
(5)
Conferences
NIPS (5)
ICLR (2)
ICML (2)
COLT (1)
ICCV (1)
Top co-authors
Keywords
generalization error
(2)
self-supervised learning
(2)
active learning
(2)
contrastive learning
(1)
stochastic gradient descent
(1)
semi-supervised learning
(1)
laplacian regularization
(1)
attention mechanism
(1)
weakly supervised learning
(1)
data augmentation
(1)
in-context learning
(1)
mode estimation
(1)
sample complexity
(1)
entropy coding
(1)
curse of dimensionality
(1)
partial feedback
(1)
associative memory
(1)
spectral filtering
(1)
streaming algorithm
(1)
inductive bia
(1)
Papers
$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
ICLR 2025
Learning Associative Memories with Gradient Descent
ICML 2024
Iteration Head: A Mechanistic Study of Chain-of-Thought
NIPS 2024
Mode Estimation with Partial Feedback
COLT 2024
Scaling Laws for Associative Memories
ICLR 2024
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
ICML 2023
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need
ICCV 2023
Birth of a Transformer: A Memory Viewpoint
NIPS 2023
How many samples are needed to leverage smoothness?
NIPS 2023
Active Labeling: Streaming Stochastic Gradients
NIPS 2022
Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning
NIPS 2021