Mirza, Mehdi

Generative adversarial networks

Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2020) · Communications of the ACM

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 18,384

Conditional Generative Adversarial Nets

Mirza, M., & Osindero, S. (2014) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 8,863

Asynchronous Methods for Deep Reinforcement Learning

Mnih, V., Badia, A. P., Mirza, M., Graves, A., Lillicrap, T. P., Harley, T., Silver, D., & Kavukcuoglu, K. (2016) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 7,132

Generative Adversarial Networks

Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014) · arXiv

Generative Adversarial Networks and Image SynthesisTopic Modeling

Cited by 4,477

Challenges in Representation Learning: A Report on Three Machine Learning Contests

Goodfellow, I. J., Erhan, D., Carrier, P. L., Courville, A., Mirza, M., Hamner, B., Cukierski, W., Tang, Y., Thaler, D., Lee, D.-H., et al. (2013) · Lecture Notes in Computer Science

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 1,719

An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Goodfellow, I. J., Mirza, M., Xiao, D., Courville, A., & Bengio, Y. (2013) · arXiv

Domain Adaptation and Few-Shot LearningNeural Networks and Applications

Cited by 1,089

Maxout Networks

Goodfellow, I. J., Warde-Farley, D., Mirza, M., Courville, A., & Bengio, Y. (2013) · arXiv

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 935

Challenges in representation learning: A report on three machine learning contests

Goodfellow, I. J., Erhan, D., Luc Carrier, P., Courville, A., Mirza, M., Hamner, B., Cukierski, W., Tang, Y., Thaler, D., Lee, D.-H., et al. (2015) · Neural Networks

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 697

Combining modality specific deep neural networks for emotion recognition in video

Kahou, S. E., Pal, C., Bouthillier, X., Froumenty, P., Gülçehre, Ç., Memisevic, R., Vincent, P., Courville, A., Bengio, Y., Ferrari, R. C., et al. (2013) · Proceedings of the 15th ACM on International conference on multimodal interaction

Emotion and Mood RecognitionFace recognition and analysis

Cited by 391

Disentangling Factors of Variation for Facial Expression Recognition

Rifai, S., Bengio, Y., Courville, A., Vincent, P., & Mirza, M. (2012) · Lecture Notes in Computer Science

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 215

Optimizing Agent Behavior over Long Time Scales by Transporting Value

Hung, C.-C., Lillicrap, T., Abramson, J., Wu, Y., Mirza, M., Carnevale, F., Ahuja, A., & Wayne, G. (2018) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 75