Pascal Lamblin
6 papers · 2006–2021 · 3 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (21) 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🌱
Topic Pioneer
🧭
Keyword Pioneer
🧬
Topic Evolution
🌟
Keyword Trendsetter Combo
(5)
📈
Trend Setter
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(6)
Learning Types · Machine Learning
(5)
Deep Learning
(3)
Architectures
(3)
Artificial Intelligence
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Techniques
(2)
Computer Science
(1)
Computer Vision
(1)
Analysis
(1)
Core AI · Artificial Intelligence
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Foundations
(1)
Keywords
greedy layer-wise training
(2)
unsupervised pretraining
(2)
feature learning
(2)
manifold learning
(2)
deep neural network
(2)
transfer learning
(1)
deep learning
(1)
multi-task learning
(1)
distributional similarity
(1)
code generation
(1)
few-shot learning
(1)
automatic differentiation
(1)
source code
(1)
graph-based learning
(1)
topology learning
(1)
image structure
(1)
greedy training
(1)
image topology
(1)
pixel distribution
(1)
dimensionality reduction
(1)
Papers
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
NeurIPS 2021
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
ICLR 2020
Automatic differentiation in ML: Where we are and where we should be going
NeurIPS 2018
Exploring Strategies for Training Deep Neural Networks
JMLR 2009
Learning the 2-D Topology of Images
NeurIPS 2007
Greedy Layer-Wise Training of Deep Networks
NeurIPS 2006