Joan Puigcerver
14 papers · 2020–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (27) π Renaissance Researcher (5) π Conference Polyglot (5) π§ Keyword Pioneer
π
Conference Polyglot
(5)
πΊοΈ
Taxonomy Completionist
(27)
π₯
Mega-Team
(42)
π
Triple Crown
π€
Dynamic Duo
(10)
π
Trend Setter
π₯
Unstoppable
(5)
π
Century Club
(14)
β‘
Prolific Year
(6)
β
The Questioner
Conferences
ICLR (5)
NIPS (4)
CVPR (2)
ICML (2)
ECCV (1)
Top co-authors
Keywords
mixture of expert
(3)
vision transformer
(3)
sparse model
(2)
image classification
(2)
transfer learning
(2)
model scaling
(2)
out-of-distribution generalization
(1)
model robustness
(1)
adversarial robustness
(1)
convex optimization
(1)
convolutional neural network
(1)
multimodal learning
(1)
zero-shot learning
(1)
linear programming
(1)
image recognition
(1)
domain generalization
(1)
differentiable programming
(1)
distribution shift
(1)
model selection
(1)
contrastive learning
(1)
Papers
From Sparse to Soft Mixtures of Experts
ICLR 2024
Scaling Vision Transformers to 22 Billion Parameters
ICML 2023
Patch nβ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
NIPS 2023
Sparsity-Constrained Optimal Transport
ICLR 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
ICML 2023
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints
ICLR 2023
PaLI: A Jointly-Scaled Multilingual Language-Image Model
ICLR 2023
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts
NIPS 2022
Which Model To Transfer? Finding the Needle in the Growing Haystack
CVPR 2022
On the Adversarial Robustness of Mixture of Experts
NIPS 2022
Scalable Transfer Learning with Expert Models
ICLR 2021
On Robustness and Transferability of Convolutional Neural Networks
CVPR 2021
Scaling Vision with Sparse Mixture of Experts
NIPS 2021
Big Transfer (BiT): General Visual Representation Learning
ECCV 2020