Pascal Lamblin
Publications by Year
Research Areas
Machine Learning and Data Classification, Parallel Computing and Optimization Techniques, Face recognition and analysis, Emotion and Mood Recognition, Human Pose and Action Recognition
Most-Cited Works
- → Greedy Layer-Wise Training of Deep Networks(2007)4,688 cited
- → Exploring Strategies for Training Deep Neural Networks(2009)1,115 cited
- → Theano: A CPU and GPU Math Compiler in Python(2010)1,055 cited
- → Theano: new features and speed improvements(2012)1,038 cited
- → EmoNets: Multimodal deep learning approaches for emotion recognition in video(2015)400 cited
- → Combining modality specific deep neural networks for emotion recognition in video(2013)381 cited
- → Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few\n Examples(2019)282 cited
- Theano: Deep Learning on GPUs with Python(2012)
- → Pylearn2: a machine learning research library(2013)193 cited