Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 205,471,952 papers from all fields of science
Search
Sign In
Create Free Account
Léon Bottou
Known as:
Leon Bottou
Léon Bottou is a researcher best known for his work in machine learning and data compression. His work presents stochastic gradient descent as a…
Expand
Wikipedia
Create Alert
Alert
Related topics
Related topics
12 relations
Conditional random field
Data compression
DjVu
International Association for Pattern Recognition
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Augmenting Self-attention with Persistent Memory
Sainbayar Sukhbaatar
,
Edouard Grave
,
Guillaume Lample
,
H. Jégou
,
Armand Joulin
ArXiv
2019
Corpus ID: 195776151
Transformer networks have lead to important progress in language modeling and machine translation. These models include two…
Expand
Highly Cited
2017
Highly Cited
2017
Unsupervised Learning by Predicting Noise
Piotr Bojanowski
,
Armand Joulin
ICML
2017
Corpus ID: 2168245
Convolutional neural networks provide visual features that perform remarkably well in many computer vision applications. However…
Expand
Highly Cited
2015
Highly Cited
2015
The Self-Normalized Estimator for Counterfactual Learning
Adith Swaminathan
,
T. Joachims
NIPS
2015
Corpus ID: 6359643
This paper identifies a severe problem of the counterfactual risk estimator typically used in batch learning from logged bandit…
Expand
2013
2013
The Institution, the Economy and the Market: Karl Polanyi's Institutional Thought for Economists
Jérôme Maucourant
,
Sébastien Plociniczak
2013
Corpus ID: 55878778
This paper aims to clarify the logical structure of Karl Polanyi's concept of institution, especially with regard to his most…
Expand
2012
2012
Fast Optimization Algorithms for Solving SVM
Dmitry Pechyony
2012
Corpus ID: 14535949
1.
Highly Cited
2010
Highly Cited
2010
SMO-Style Algorithms for Learning Using Privileged Information
Dmitry Pechyony
,
R. Izmailov
,
A. Vashist
,
V. Vapnik
DMIN
2010
Corpus ID: 14823109
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this…
Expand
Highly Cited
2009
Highly Cited
2009
How Stable are Monetary Models of the Dollar-Euro Exchange Rate? A Time-Varying Coefficient Approach
J. Beckmann
,
A. Belke
,
Michael Kühl
2009
Corpus ID: 29137571
This paper examines the significance of different fundamental regimes by applying various monetary models of the exchange rate to…
Expand
Highly Cited
2005
Highly Cited
2005
Learning to rank using gradient descent
C. Burges
,
Tal Shaked
,
+4 authors
Greg Hullender
ICML
2005
Corpus ID: 11168734
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function…
Expand
Highly Cited
2004
Highly Cited
2004
Évolution des idées sur le traitement chirurgical des prolapsus génitaux: Naissance de la technique TVM
Groupe Tvm P. Debodinance
,
J. Berrocal
,
+6 authors
R. Villet
2004
Corpus ID: 57100160
Highly Cited
2001
Highly Cited
2001
The Geometry of the Scroll Compressor
J. Gravesen
,
Christian Henriksen
SIAM Rev.
2001
Corpus ID: 42495099
The scroll compressor is an ingenious machine used for compressing air or refrigerant; it was originally invented in 1905 by Leon…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
,
Terms of Service
, and
Dataset License
ACCEPT & CONTINUE