Stéphane Ayache
6 papers · 2013–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird
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The Questioner
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Venues
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(4)
Artificial Intelligence
(3)
Architectures
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Core AI · Artificial Intelligence
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Learning Types · Deep Learning
(3)
Computer Vision
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Mathematics & Optimization
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Core AI · Computer Vision
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Core Methods
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Mathematics
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Models
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Optimization & Theory · Machine Learning
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Optimization & Theory · Deep Learning
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Learning Types · Machine Learning
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Keywords
implicit regularization
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vision-language model
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low-rank approximation
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tensor factorization
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transformer architecture
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deep learning
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neural network optimization
(1)
partial trace regression
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low-rank decomposition
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kraus decomposition
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gradient descent
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matrix completion
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structured sparsity
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low-rank representation
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tensor completion
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deep neural network
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multimodal representation
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multimodal reasoning
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deep tucker factorization
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syntactic dependency
(1)
Papers
Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity
AISTATS 2024
Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective
AAAI 2022
Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies?
EMNLP 2022
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
ICML 2022
Partial Trace Regression and Low-Rank Kraus Decomposition
ICML 2020
The Multi-Task Learning View of Multimodal Data
ACML 2013