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Mikolov, Tomas
15 publications
CoLLAs
2022
Benchmarking Learning Efficiency in Deep Reservoir Computing
Hugo Cisneros
,
Tomas Mikolov
,
Josef Sivic
AAAI
2018
Efficient Large-Scale Multi-Modal Classification
Douwe Kiela
,
Edouard Grave
,
Armand Joulin
,
Tomás Mikolov
ICLR
2017
CommAI: Evaluating the First Steps Towards a Useful General AI
Marco Baroni
,
Armand Joulin
,
Allan Jabri
,
Germán Kruszewski
,
Angeliki Lazaridou
,
Klemen Simonic
,
Tomás Mikolov
ICLR
2017
Variable Computation in Recurrent Neural Networks
Yacine Jernite
,
Edouard Grave
,
Armand Joulin
,
Tomás Mikolov
ICML
2016
Learning Simple Algorithms from Examples
Wojciech Zaremba
,
Tomas Mikolov
,
Armand Joulin
,
Rob Fergus
ICLR
2016
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
Jason Weston
,
Antoine Bordes
,
Sumit Chopra
,
Tomás Mikolov
ICLR
2015
Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews
Grégoire Mesnil
,
Tomás Mikolov
,
Marc'Aurelio Ranzato
,
Yoshua Bengio
NeurIPS
2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Armand Joulin
,
Tomas Mikolov
ICLR
2015
Learning Longer Memory in Recurrent Neural Networks
Tomás Mikolov
,
Armand Joulin
,
Sumit Chopra
,
Michaël Mathieu
,
Marc'Aurelio Ranzato
ICML
2014
Distributed Representations of Sentences and Documents
Quoc Le
,
Tomas Mikolov
ICLR
2014
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Mohammad Norouzi
,
Tomás Mikolov
,
Samy Bengio
,
Yoram Singer
,
Jonathon Shlens
,
Andrea Frome
,
Greg Corrado
,
Jeffrey Dean
NeurIPS
2013
DeViSE: A Deep Visual-Semantic Embedding Model
Andrea Frome
,
Greg S Corrado
,
Jon Shlens
,
Samy Bengio
,
Jeff Dean
,
Marc'Aurelio Ranzato
,
Tomas Mikolov
NeurIPS
2013
Distributed Representations of Words and Phrases and Their Compositionality
Tomas Mikolov
,
Ilya Sutskever
,
Kai Chen
,
Greg S Corrado
,
Jeff Dean
ICLR
2013
Efficient Estimation of Word Representations in Vector Space
Tomás Mikolov
,
Kai Chen
,
Greg Corrado
,
Jeffrey Dean
ICML
2013
On the Difficulty of Training Recurrent Neural Networks
Razvan Pascanu
,
Tomas Mikolov
,
Yoshua Bengio