Marc’aurelio Ranzato

Marc’aurelio Ranzato's AcademicInfluence.com Rankings

Computer Science

#9272

World Rank

#9739

Historical Rank

Algorithms

#374

World Rank

#379

Historical Rank

Machine Learning

#4013

World Rank

#4061

Historical Rank

Artificial Intelligence

#4349

World Rank

#4409

Historical Rank

computer-science Degrees

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Computer Science

Marc’aurelio Ranzato's Degrees

PhD Computer Science New York University
Masters Computer Science University of Trento
Bachelors Computer Science University of Trento

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Marc’aurelio Ranzato's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

DeepFace: Closing the Gap to Human-Level Performance in Face Verification (2014) (5587)
Large Scale Distributed Deep Networks (2012) (3316)
DeViSE: A Deep Visual-Semantic Embedding Model (2013) (2243)
What is the best multi-stage architecture for object recognition? (2009) (2242)
Building high-level features using large scale unsupervised learning (2011) (2207)
Gradient Episodic Memory for Continual Learning (2017) (1482)
Sequence Level Training with Recurrent Neural Networks (2015) (1373)
Word Translation Without Parallel Data (2017) (1315)
Efficient Learning of Sparse Representations with an Energy-Based Model (2006) (1289)
Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition (2007) (1163)
Predicting Parameters in Deep Learning (2013) (1153)
Unsupervised Machine Translation Using Monolingual Corpora Only (2017) (921)
Sparse Feature Learning for Deep Belief Networks (2007) (876)
Efficient Lifelong Learning with A-GEM (2018) (767)
Phrase-Based & Neural Unsupervised Machine Translation (2018) (601)
On rectified linear units for speech processing (2013) (516)
Fader Networks: Manipulating Images by Sliding Attributes (2017) (494)
PANDA: Pose Aligned Networks for Deep Attribute Modeling (2013) (490)
Video (language) modeling: a baseline for generative models of natural videos (2014) (419)
Learning invariant features through topographic filter maps (2009) (353)
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine (2010) (331)
Multilingual acoustic models using distributed deep neural networks (2013) (314)
On Tiny Episodic Memories in Continual Learning (2019) (267)
Modeling pixel means and covariances using factorized third-order boltzmann machines (2010) (263)
Web-scale training for face identification (2014) (254)
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition (2010) (252)
Learning Longer Memory in Recurrent Neural Networks (2014) (246)
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images (2010) (245)
Semi-supervised learning of compact document representations with deep networks (2008) (234)
On deep generative models with applications to recognition (2011) (221)
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English (2019) (215)
Analyzing Uncertainty in Neural Machine Translation (2018) (197)
Learning Factored Representations in a Deep Mixture of Experts (2013) (194)
Continual Learning with Tiny Episodic Memories (2019) (192)
Revisiting Self-Training for Neural Sequence Generation (2019) (189)
Multiple-Attribute Text Rewriting (2018) (173)
An empirical study of learning rates in deep neural networks for speech recognition (2013) (166)
Classical Structured Prediction Losses for Sequence to Sequence Learning (2017) (160)
The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation (2021) (155)
Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews (2014) (139)
Automatic recognition of biological particles in microscopic images (2007) (120)
A Unified Energy-Based Framework for Unsupervised Learning (2007) (118)
Task-Driven Modular Networks for Zero-Shot Compositional Learning (2019) (105)
Dialogue Learning With Human-In-The-Loop (2016) (103)
Mixture Models for Diverse Machine Translation: Tricks of the Trade (2019) (98)
Multi-GPU Training of ConvNets (2013) (97)
Large Memory Layers with Product Keys (2019) (92)
On Autoencoders and Score Matching for Energy Based Models (2011) (91)
Learning through Dialogue Interactions by Asking Questions (2016) (82)
Generating more realistic images using gated MRF's (2010) (80)
On The Evaluation of Machine Translation SystemsTrained With Back-Translation (2019) (75)
Transformation-Based Models of Video Sequences (2017) (67)
Multiple-Attribute Text Style Transfer (2018) (63)
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision (2017) (62)
Modeling Natural Images Using Gated MRFs (2013) (58)
Real or Fake? Learning to Discriminate Machine from Human Generated Text (2019) (55)
Efficient Continual Learning with Modular Networks and Task-Driven Priors (2020) (50)
Energy-Based Models in Document Recognition and Computer Vision (2007) (47)
Dynamic auto-encoders for semantic indexing (2010) (35)
Guest Editorial: Deep Learning (2015) (26)
Facebook AI’s WAT19 Myanmar-English Translation Task Submission (2019) (26)
A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images (2007) (26)
Unsupervised Learning of Feature Hierarchies (2009) (20)
The Source-Target Domain Mismatch Problem in Machine Translation (2019) (19)
Scale-invariant learning and convolutional networks (2015) (19)
Discriminative Reranking for Neural Machine Translation (2021) (17)
On Learning Where To Look (2014) (16)
Learning Through Dialogue Interactions (2016) (15)
Residual Energy-Based Models for Text (2021) (15)
E cient Learning of Sparse Overcomplete Representations with an Energy-Based Model (2006) (15)
On Anytime Learning at Macroscale (2021) (13)
Towards Learning Universal Hyperparameter Optimizers with Transformers (2022) (12)
Unsupervised image ranking (2009) (12)
Convolutional networks and learning invariant to homogeneous multiplicative scalings (2015) (11)
Few-shot Sequence Learning with Transformers (2020) (9)
Energy-Based Models for Text (2020) (9)
Learning in Informal Settings (2012) (8)
Multi-scale Transformer Language Models (2020) (8)
Training Language Models Using Target-Propagation (2017) (8)
Lightweight Adaptive Mixture of Neural and N-gram Language Models (2018) (8)
Fader Networks: Generating Image Variations by Sliding Attribute Values (2017) (5)
Learning and Development After School (2012) (5)
How to generate realistic images using gated MRF ’ s (2010) (5)
Single Server Multi-GPU Training of ConvNets (2013) (4)
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research (2022) (2)
Learning Through the Breach: Language Socialization (2012) (2)
On-Line Learning of Long-Range Obstacle Detection for Off-Road Robots (2006) (2)
Learning from Text (2012) (2)
Diverse Machine Translation with a Single Multinomial Latent Variable (2018) (1)
High-Accuracy Object Recognition with a New Convolutional Net Architecture and Learning Algorithm (2009) (1)
UvA-DARE (Digital Academic Repository) SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks (2020) (1)
GenEval: A Benchmark Suite for Evaluating Generative Models (2018) (0)
Learning Goals: (2020) (0)
Towards Compute-Optimal Transfer Learning (2023) (0)
Web-Scale Transfer Learning for Unconstrained 1 : N Face Identification (2015) (0)
Guest Editorial: Deep Learning (2015) (0)
UMAN-IN-THEL OOP (2017) (0)
Residual EBMs: Does Real vs. Fake Text Discrimination Generalize? (2019) (0)
Recurrent Neural Networks (2015) (0)
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer (2022) (0)
Under Review as a Conference Paper at Iclr 2017 Learning through Dialogue Interactions (2016) (0)

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Marc’aurelio Ranzato's Academic­Influence.com Rankings

Marc’aurelio Ranzato's Degrees

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Why Is Marc’aurelio Ranzato Influential?

Marc’aurelio Ranzato's Published Works

Published Works

Marc’aurelio Ranzato's AcademicInfluence.com Rankings