Dumitru Erhan

Dumitru Erhan's AcademicInfluence.com Rankings

Dumitru Erhan

Computer Science

#9846

World Rank

#10329

Historical Rank

Algorithms

#404

World Rank

#409

Historical Rank

Computational Linguistics

#2432

World Rank

#2456

Historical Rank

Machine Learning

#4418

World Rank

#4468

Historical Rank

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Computer Science

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Dumitru Erhan'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

Going deeper with convolutions (2014) (35315)
SSD: Single Shot MultiBox Detector (2015) (20126)
Intriguing properties of neural networks (2013) (10943)
Show and tell: A neural image caption generator (2014) (5101)
Theano: A Python framework for fast computation of mathematical expressions (2016) (2219)
Why Does Unsupervised Pre-training Help Deep Learning? (2010) (2106)
Deep Neural Networks for Object Detection (2013) (1316)
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks (2016) (1227)
Visualizing Higher-Layer Features of a Deep Network (2009) (1127)
Domain Separation Networks (2016) (1124)
An empirical evaluation of deep architectures on problems with many factors of variation (2007) (1078)
Scalable Object Detection Using Deep Neural Networks (2013) (1070)
Challenges in representation learning: A report on three machine learning contests (2013) (1050)
Training Deep Neural Networks on Noisy Labels with Bootstrapping (2014) (813)
Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge (2016) (719)
Model-Based Reinforcement Learning for Atari (2019) (545)
The (Un)reliability of saliency methods (2017) (474)
Stochastic Variational Video Prediction (2017) (437)
The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training (2009) (427)
Zero-data Learning of New Tasks (2008) (420)
A Benchmark for Interpretability Methods in Deep Neural Networks (2018) (384)
Scalable, High-Quality Object Detection (2014) (341)
Aggregate features and ADABOOST for music classification (2006) (314)
Learning how to explain neural networks: PatternNet and PatternAttribution (2017) (305)
Doubly Robust Policy Evaluation and Optimization (2014) (204)
Deep Learners Benefit More from Out-of-Distribution Examples (2011) (128)
Hierarchical Long-term Video Prediction without Supervision (2018) (111)
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation (2019) (108)
VideoFlow: A Flow-Based Generative Model for Video (2019) (107)
Understanding Representations Learned in Deep Architectures (2010) (105)
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks (2019) (102)
Collaborative Filtering on a Family of Biological Targets (2006) (96)
Evaluating Feature Importance Estimates (2018) (74)
Phenaki: Variable Length Video Generation From Open Domain Textual Description (2022) (56)
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving (2020) (46)
FitVid: Overfitting in Pixel-Level Video Prediction (2021) (42)
Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits (2012) (32)
Deep Learning using Robust Interdependent Codes (2009) (29)
Deep Self-Taught Learning for Handwritten Character Recognition (2010) (19)
Using Web Co-occurrence Statistics for Improving Image Categorization (2013) (18)
Meta-Features and AdaBoost for Music Classification (2006) (13)
INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL (2022) (10)
Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning (2020) (6)
Understanding deep architectures and the effect of unsupervised pre-training (2011) (5)
Generalizing to a zero-data task : a computational chemistry case study (2006) (2)
Exploration of combining ESN learning with gradient-descent RNN learning techniques A Bachelor of Science thesis (2004) (2)
Collaborative filtering techniques for drug discovery (2006) (2)
High Fidelity Video Prediction with Large Neural Nets (2019) (2)
High-throughput Phenotyping of Tan Spot Disease on Wheat using IoT and Deep Learning : A proposal workflow (2018) (1)
On optimization, parallelization and convergence of the Expectation-Maximization algorithm for finite mixtures of Bernoulli distributions. (2003) (0)
Unsupervised Hierarchical Video Prediction (2018) (0)
Detecting Handwritten Text from Forms using Deep Learning (2020) (0)
Exploration of combining Echo-State Network Learning with Recurrent Neural Network Learning techniques (2004) (0)
S Tochastic V Ariational V Ideo P Rediction (2018) (0)
Sparse Covariance Coding (2008) (0)
Generalization to a zero-data task: an empirical study (0)
INFO RMATION P RIORITIZATION THROUGH E M POWER MENT IN V ISUAL M ODEL -B ASED RL (2022) (0)
Doubly Robust Policy Evaluation and Optimization 1 (2015) (0)

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What Schools Are Affiliated With Dumitru Erhan?

Dumitru Erhan is affiliated with the following schools:

Université de Montréal

Dumitru Erhan's Academic­Influence.com Rankings

Why Is Dumitru Erhan Influential?

Dumitru Erhan's Published Works

Published Works

What Schools Are Affiliated With Dumitru Erhan?

Dumitru Erhan's AcademicInfluence.com Rankings