Marc'Aurelio Ranzato

115 papers A* 26A 5Misc 3Journal 55Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch. CoRR Arthur Douillard, Yanislav Donchev, Keith Rush, Satyen Kale, Zachary Charles, Zachary Garrett, Gabriel Teston, Dave Lacey, Ross McIlroy, Jiajun Shen, Alexandre Ramé, Arthur Szlam, Marc'Aurelio Ranzato, Paul Barham
2024	J	`jnl`	Asynchronous Local-SGD Training for Language Modeling. CoRR Bo Liu, Rachita Chhaparia, Arthur Douillard, Satyen Kale, Andrei A. Rusu, Jiajun Shen, Arthur Szlam, Marc'Aurelio Ranzato
2024	J	`jnl`	DiPaCo: Distributed Path Composition. CoRR Arthur Douillard, Qixuan Feng, Andrei A. Rusu, Adhiguna Kuncoro, Yani Donchev, Rachita Chhaparia, Ionel Gog, Marc'Aurelio Ranzato, Jiajun Shen, Arthur Szlam
2023	J	`jnl`	DiLoCo: Distributed Low-Communication Training of Language Models. CoRR Arthur Douillard, Qixuang Feng, Andrei A. Rusu, Rachita Chhaparia, Yani Donchev, Adhiguna Kuncoro, Marc'Aurelio Ranzato, Arthur Szlam, Jiajun Shen
2023	J	`jnl`	Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research. J. Mach. Learn. Res. Jörg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuan Feng, Jiajun Shen, Sylvestre-Alvise Rebuffi, Kitty Stacpoole, Diego de Las Casas, Will Hawkins, Angeliki Lazaridou, Yee Whye Teh, Andrei A. Rusu, Razvan Pascanu, Marc'Aurelio Ranzato
2023	J	`jnl`	Towards Compute-Optimal Transfer Learning. CoRR Massimo Caccia, Alexandre Galashov, Arthur Douillard, Amal Rannen-Triki, Dushyant Rao, Michela Paganini, Laurent Charlin, Marc'Aurelio Ranzato, Razvan Pascanu
2023	J	`jnl`	Towards Robust and Efficient Continual Language Learning. CoRR Adam Fisch, Amal Rannen-Triki, Razvan Pascanu, Jörg Bornschein, Angeliki Lazaridou, Elena Gribovskaya, Marc'Aurelio Ranzato
2022	J	`jnl`	Multi-step Planning for Automated Hyperparameter Optimization with OptFormer. CoRR Lucio M. Dery, Abram L. Friesen, Nando de Freitas, Marc'Aurelio Ranzato, Yutian Chen
2022	J	`jnl`	NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research. CoRR Jörg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuang Feng, Jiajun Shen, Sylvestre-Alvise Rebuffi, Kitty Stacpoole, Diego de Las Casas, Will Hawkins, Angeliki Lazaridou, Yee Whye Teh, Andrei A. Rusu, Razvan Pascanu, Marc'Aurelio Ranzato
2022	—	`conf`	On Anytime Learning at Macroscale. CoLLAs Lucas Caccia, Jing Xu, Myle Ott, Marc'Aurelio Ranzato, Ludovic Denoyer
2022	J	`jnl`	The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation. Trans. Assoc. Comput. Linguistics Naman Goyal, Cynthia Gao, Vishrav Chaudhary, Peng-Jen Chen, Guillaume Wenzek, Da Ju, Sanjana Krishnan, Marc'Aurelio Ranzato, Francisco Guzmán, Angela Fan
2022	A*	`conf`	Towards Learning Universal Hyperparameter Optimizers with Transformers. NeurIPS Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Richard Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas
2022	J	`jnl`	Towards Learning Universal Hyperparameter Optimizers with Transformers. CoRR Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Qiuyi Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas
2022	A*	`conf`	Unified Scaling Laws for Routed Language Models. ICML Aidan Clark, Diego de Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake A. Hechtman, Trevor Cai, Sebastian Borgeaud, George van den Driessche, Eliza Rutherford, Tom Hennigan, Matthew J. Johnson, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Marc'Aurelio Ranzato, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan
2021	A*	`ed.`	Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. NeurIPS Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan
2021	—	`conf`	Discriminative Reranking for Neural Machine Translation. ACL/IJCNLP (1) Ann Lee, Michael Auli, Marc'Aurelio Ranzato
2021	A*	`conf`	Efficient Continual Learning with Modular Networks and Task-Driven Priors. ICLR Tom Veniat, Ludovic Denoyer, Marc'Aurelio Ranzato
2021	J	`jnl`	On Anytime Learning at Macroscale. CoRR Lucas Caccia, Jing Xu, Myle Ott, Marc'Aurelio Ranzato, Ludovic Denoyer
2021	J	`jnl`	Residual Energy-Based Models for Text. J. Mach. Learn. Res. Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam
2021	J	`jnl`	The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation. CoRR Naman Goyal, Cynthia Gao, Vishrav Chaudhary, Peng-Jen Chen, Guillaume Wenzek, Da Ju, Sanjana Krishnan, Marc'Aurelio Ranzato, Francisco Guzmán, Angela Fan
2021	A	`conf`	The Source-Target Domain Mismatch Problem in Machine Translation. EACL Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
2020	A*	`ed.`	Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. NeurIPS Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin
2020	J	`jnl`	Efficient Continual Learning with Modular Networks and Task-Driven Priors. CoRR Tom Veniat, Ludovic Denoyer, Marc'Aurelio Ranzato
2020	J	`jnl`	Energy-Based Models for Text. CoRR Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam
2020	J	`jnl`	Few-shot Sequence Learning with Transformers. CoRR Lajanugen Logeswaran, Ann Lee, Myle Ott, Honglak Lee, Marc'Aurelio Ranzato, Arthur Szlam
2020	J	`jnl`	Multi-scale Transformer Language Models. CoRR Sandeep Subramanian, Ronan Collobert, Marc'Aurelio Ranzato, Y-Lan Boureau
2020	A*	`conf`	On The Evaluation of Machine Translation SystemsTrained With Back-Translation. ACL Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, Michael Auli
2020	A*	`conf`	Residual Energy-Based Models for Text Generation. ICLR Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato
2020	J	`jnl`	Residual Energy-Based Models for Text Generation. CoRR Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato
2020	A*	`conf`	Revisiting Self-Training for Neural Sequence Generation. ICLR Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato
2019	J	`jnl`	Continual Learning with Tiny Episodic Memories. CoRR Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet Kumar Dokania, Philip H. S. Torr, Marc'Aurelio Ranzato
2019	—	`conf`	Efficient Lifelong Learning with A-GEM. ICLR (Poster) Arslan Chaudhry, Marc'Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny
2019	—	`conf`	Facebook AI's WAT19 Myanmar-English Translation Task Submission. WAT@EMNLP-IJCNLP Peng-Jen Chen, Jiajun Shen, Matt Le, Vishrav Chaudhary, Ahmed El-Kishky, Guillaume Wenzek, Myle Ott, Marc'Aurelio Ranzato
2019	J	`jnl`	Facebook AI's WAT19 Myanmar-English Translation Task Submission. CoRR Peng-Jen Chen, Jiajun Shen, Matt Le, Vishrav Chaudhary, Ahmed El-Kishky, Guillaume Wenzek, Myle Ott, Marc'Aurelio Ranzato
2019	A*	`conf`	Large Memory Layers with Product Keys. NeurIPS Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou
2019	J	`jnl`	Large Memory Layers with Product Keys. CoRR Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou
2019	A*	`conf`	Mixture Models for Diverse Machine Translation: Tricks of the Trade. ICML Tianxiao Shen, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
2019	J	`jnl`	Mixture Models for Diverse Machine Translation: Tricks of the Trade. CoRR Tianxiao Shen, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
2019	—	`conf`	Multiple-Attribute Text Rewriting. ICLR (Poster) Guillaume Lample, Sandeep Subramanian, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau
2019	J	`jnl`	On The Evaluation of Machine Translation Systems Trained With Back-Translation. CoRR Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, Michael Auli
2019	J	`jnl`	Real or Fake? Learning to Discriminate Machine from Human Generated Text. CoRR Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc'Aurelio Ranzato, Arthur Szlam
2019	J	`jnl`	Revisiting Self-Training for Neural Sequence Generation. CoRR Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato
2019	A*	`conf`	Task-Driven Modular Networks for Zero-Shot Compositional Learning. ICCV Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato
2019	J	`jnl`	Task-Driven Modular Networks for Zero-Shot Compositional Learning. CoRR Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato
2019	—	`conf`	The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English. EMNLP/IJCNLP (1) Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Miguel Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato
2019	J	`jnl`	The Source-Target Domain Mismatch Problem in Machine Translation. CoRR Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
2019	J	`jnl`	Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English. CoRR Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Miguel Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato
2018	A*	`conf`	Analyzing Uncertainty in Neural Machine Translation. ICML Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato
2018	J	`jnl`	Analyzing Uncertainty in Neural Machine Translation. CoRR Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato
2018	—	`conf`	Classical Structured Prediction Losses for Sequence to Sequence Learning. NAACL-HLT Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato
2018	J	`jnl`	Efficient Lifelong Learning with A-GEM. CoRR Arslan Chaudhry, Marc'Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny
2018	J	`jnl`	Lightweight Adaptive Mixture of Neural and N-gram Language Models. CoRR Anton Bakhtin, Arthur Szlam, Marc'Aurelio Ranzato, Edouard Grave
2018	J	`jnl`	Multiple-Attribute Text Style Transfer. CoRR Sandeep Subramanian, Guillaume Lample, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau
2018	A*	`conf`	Phrase-Based & Neural Unsupervised Machine Translation. EMNLP Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato
2018	J	`jnl`	Phrase-Based & Neural Unsupervised Machine Translation. CoRR Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato
2018	—	`conf`	Unsupervised Machine Translation Using Monolingual Corpora Only. ICLR (Poster) Guillaume Lample, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato
2018	—	`conf`	Word translation without parallel data. ICLR (Poster) Guillaume Lample, Alexis Conneau, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou
2017	J	`jnl`	Classical Structured Prediction Losses for Sequence to Sequence Learning. CoRR Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato
2017	—	`conf`	Dialogue Learning With Human-in-the-Loop. ICLR (Poster) Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston
2017	—	`conf`	Fader Networks: Manipulating Images by Sliding Attributes. NIPS Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato
2017	J	`jnl`	Fader Networks: Manipulating Images by Sliding Attributes. CoRR Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato
2017	—	`conf`	Gradient Episodic Memory for Continual Learning. NIPS David Lopez-Paz, Marc'Aurelio Ranzato
2017	J	`jnl`	Gradient Episodic Memory for Continuum Learning. CoRR David Lopez-Paz, Marc'Aurelio Ranzato
2017	A*	`conf`	Hard Mixtures of Experts for Large Scale Weakly Supervised Vision. CVPR Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam
2017	J	`jnl`	Hard Mixtures of Experts for Large Scale Weakly Supervised Vision. CoRR Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam
2017	—	`conf`	Learning through Dialogue Interactions by Asking Questions. ICLR (Poster) Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston
2017	J	`jnl`	Training Language Models Using Target-Propagation. CoRR Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato, Arthur Szlam, Ruoyu Sun, Soumith Chintala, Nicolas Vasilache
2017	J	`jnl`	Transformation-Based Models of Video Sequences. CoRR Joost R. van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato, Arthur Szlam, Du Tran, Soumith Chintala
2017	J	`jnl`	Unsupervised Machine Translation Using Monolingual Corpora Only. CoRR Guillaume Lample, Ludovic Denoyer, Marc'Aurelio Ranzato
2017	J	`jnl`	Word Translation Without Parallel Data. CoRR Alexis Conneau, Guillaume Lample, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou
2016	J	`jnl`	Dialogue Learning With Human-In-The-Loop. CoRR Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston
2016	J	`jnl`	Learning Through Dialogue Interactions. CoRR Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston
2016	A*	`conf`	Sequence Level Training with Recurrent Neural Networks. ICLR (Poster) Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba
2015	—	`conf`	Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews. ICLR (Workshop) Grégoire Mesnil, Tomás Mikolov, Marc'Aurelio Ranzato, Yoshua Bengio
2015	J	`jnl`	Guest Editorial: Deep Learning. Int. J. Comput. Vis. Marc'Aurelio Ranzato, Geoffrey E. Hinton, Yann LeCun
2015	—	`conf`	Learning Longer Memory in Recurrent Neural Networks. ICLR (Workshop) Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato
2015	J	`jnl`	Scale-invariant learning and convolutional networks. CoRR Soumith Chintala, Marc'Aurelio Ranzato, Arthur Szlam, Yuandong Tian, Mark Tygert, Wojciech Zaremba
2015	A*	`conf`	Web-scale training for face identification. CVPR Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf
2014	A*	`conf`	DeepFace: Closing the Gap to Human-Level Performance in Face Verification. CVPR Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf
2014	—	`conf`	Learning Factored Representations in a Deep Mixture of Experts. ICLR (Workshop Poster) David Eigen, Marc'Aurelio Ranzato, Ilya Sutskever
2014	—	`conf`	Multi-GPU Training of ConvNets. ICLR (Workshop Poster) Omry Yadan, Keith Adams, Yaniv Taigman, Marc'Aurelio Ranzato
2014	J	`jnl`	On Learning Where To Look. CoRR Marc'Aurelio Ranzato
2014	A*	`conf`	PANDA: Pose Aligned Networks for Deep Attribute Modeling. CVPR Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir D. Bourdev
2014	J	`jnl`	Video (language) modeling: a baseline for generative models of natural videos. CoRR Marc'Aurelio Ranzato, Arthur Szlam, Joan Bruna, Michaël Mathieu, Ronan Collobert, Sumit Chopra
2014	J	`jnl`	Web-Scale Training for Face Identification. CoRR Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf
2013	Misc	`conf`	An empirical study of learning rates in deep neural networks for speech recognition. ICASSP Andrew W. Senior, Georg Heigold, Marc'Aurelio Ranzato, Ke Yang
2013	—	`conf`	DeViSE: A Deep Visual-Semantic Embedding Model. NIPS Andrea Frome, Gregory S. Corrado, Jonathon Shlens, Samy Bengio, Jeffrey Dean, Marc'Aurelio Ranzato, Tomás Mikolov
2013	J	`jnl`	Modeling Natural Images Using Gated MRFs. IEEE Trans. Pattern Anal. Mach. Intell. Marc'Aurelio Ranzato, Volodymyr Mnih, Joshua M. Susskind, Geoffrey E. Hinton
2013	Misc	`conf`	Multilingual acoustic models using distributed deep neural networks. ICASSP Georg Heigold, Vincent Vanhoucke, Andrew W. Senior, Patrick Nguyen, Marc'Aurelio Ranzato, Matthieu Devin, Jeffrey Dean
2013	Misc	`conf`	On rectified linear units for speech processing. ICASSP Matthew D. Zeiler, Marc'Aurelio Ranzato, Rajat Monga, Mark Z. Mao, K. Yang, Quoc Viet Le, Patrick Nguyen, Andrew W. Senior, Vincent Vanhoucke, Jeffrey Dean, Geoffrey E. Hinton
2013	J	`jnl`	PANDA: Pose Aligned Networks for Deep Attribute Modeling. CoRR Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir D. Bourdev
2013	—	`conf`	Predicting Parameters in Deep Learning. NIPS Misha Denil, Babak Shakibi, Laurent Dinh, Marc'Aurelio Ranzato, Nando de Freitas
2013	J	`jnl`	Predicting Parameters in Deep Learning. CoRR Misha Denil, Babak Shakibi, Laurent Dinh, Marc'Aurelio Ranzato, Nando de Freitas
2012	A*	`conf`	Building high-level features using large scale unsupervised learning. ICML Quoc V. Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Greg Corrado, Kai Chen, Jeffrey Dean, Andrew Y. Ng
2012	—	`conf`	Large Scale Distributed Deep Networks. NIPS Jeffrey Dean, Greg Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Quoc V. Le, Mark Z. Mao, Marc'Aurelio Ranzato, Andrew W. Senior, Paul A. Tucker, Ke Yang, Andrew Y. Ng
2011	J	`jnl`	Building high-level features using large scale unsupervised learning CoRR Quoc V. Le, Rajat Monga, Matthieu Devin, Greg Corrado, Kai Chen, Marc'Aurelio Ranzato, Jeffrey Dean, Andrew Y. Ng
2011	A*	`conf`	On Autoencoders and Score Matching for Energy Based Models. ICML Kevin Swersky, Marc'Aurelio Ranzato, David Buchman, Benjamin M. Marlin, Nando de Freitas
2011	A*	`conf`	On deep generative models with applications to recognition. CVPR Marc'Aurelio Ranzato, Joshua M. Susskind, Volodymyr Mnih, Geoffrey E. Hinton
2010	A	`conf`	Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images. AISTATS Marc'Aurelio Ranzato, Alex Krizhevsky, Geoffrey E. Hinton
2010	J	`jnl`	Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition CoRR Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCun
2010	—	`conf`	Generating more realistic images using gated MRF's. NIPS Marc'Aurelio Ranzato, Volodymyr Mnih, Geoffrey E. Hinton
2010	A*	`conf`	Modeling pixel means and covariances using factorized third-order boltzmann machines. CVPR Marc'Aurelio Ranzato, Geoffrey E. Hinton
2010	—	`conf`	Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine. NIPS George E. Dahl, Marc'Aurelio Ranzato, Abdel-rahman Mohamed, Geoffrey E. Hinton
2009	A*	`conf`	Learning invariant features through topographic filter maps. CVPR Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergus, Yann LeCun
2009	—	`—`	Unsupervised Learning of Feature Hierarchies. Marc'Aurelio Ranzato
2009	—	`conf`	Unsupervised image ranking. LS-MMRM@ACM Multimedia Eva Hörster, Malcolm Slaney, Marc'Aurelio Ranzato, Kilian Q. Weinberger
2009	A*	`conf`	What is the best multi-stage architecture for object recognition? ICCV Kevin Jarrett, Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCun
2008	A*	`conf`	Semi-supervised learning of compact document representations with deep networks. ICML Marc'Aurelio Ranzato, Martin Szummer
2007	A	`conf`	A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images. ICDAR Marc'Aurelio Ranzato, Yann LeCun
2007	A	`conf`	A Unified Energy-Based Framework for Unsupervised Learning. AISTATS Marc'Aurelio Ranzato, Y-Lan Boureau, Sumit Chopra, Yann LeCun
2007	J	`jnl`	Automatic recognition of biological particles in microscopic images. Pattern Recognit. Lett. Marc'Aurelio Ranzato, P. E. Taylor, James M. House, R. C. Flagan, Yann LeCun, Pietro Perona
2007	A	`conf`	Energy-Based Models in Document Recognition and Computer Vision. ICDAR Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu Jie Huang
2007	—	`conf`	Sparse Feature Learning for Deep Belief Networks. NIPS Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
2007	A*	`conf`	Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition. CVPR Marc'Aurelio Ranzato, Fu Jie Huang, Y-Lan Boureau, Yann LeCun
2006	—	`conf`	Efficient Learning of Sparse Representations with an Energy-Based Model. NIPS Marc'Aurelio Ranzato, Christopher S. Poultney, Sumit Chopra, Yann LeCun