Pascal Lamblin
6 papers · 2006–2021 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Interdisciplinary Bridge π£ Hot Topic Early Bird π§ Keyword Pioneer π Academic Marathon (15)
π£
Hot Topic Early Bird
π
Conference Polyglot
(3)
π
Academic Marathon
(15)
π
Keyword Trendsetter Combo
(4)
π±
Topic Pioneer
π
Trend Setter
π
Conference Pioneer
Conferences
NIPS (4)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
feature learning
(2)
deep neural network
(2)
greedy layer-wise training
(2)
manifold learning
(2)
unsupervised pretraining
(1)
code generation
(1)
distributional similarity
(1)
automatic differentiation
(1)
graph-based learning
(1)
image structure
(1)
topology learning
(1)
source code
(1)
image topology
(1)
pixel distribution
(1)
topology extraction
(1)
unsupervised discovery
(1)
feature hierarchy
(1)
image processing
(1)
restricted boltzmann machine
(1)
unsupervised pre-training
(1)
Papers
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
NIPS 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
NIPS 2018
Exploring Strategies for Training Deep Neural Networks
JMLR 2009
Learning the 2-D Topology of Images
NIPS 2007
Greedy Layer-Wise Training of Deep Networks
NIPS 2006