My notes on the research papers I read as well as a practice repository of papers researched for Allure of Academia.
Inspired by Daniel Takeshi's Paper Note's and a wild thought.
Note: the year is my timeline ( the year I read the paper ) and not when the paper was published.
- An Introduction to the Conjugate Gradient Method Without the Agonizing Pain, Jonathan Richard Shewchuk, PhD Thesis, 1994
CVPR, ICCV, ECCV, BMVC, etc
- Cross-modal Deep Variational Hand Pose Estimation, Adrian Spurr et el, CVPR 2018
- Learning to Estimate 3D Hand Pose from Single RGB Images, Christian Zimmermann and Thomas Brox, ICCV 2017
Mostly NIPS, ICLR, AISTATS etc
- Auto-Encoding Variational Bayes, Diederik P Kingma, Max Welling, ICLR 2013
- Adam: A Method for Stochastic Optimization, Diederik P. Kingma, Jimmy Ba. ICLR 2014
- Generative adversarial nets, Goodfellow, Ian, et al. NIPS 2014
- Deep Learning, Yann LeCun et al. Nature 2015 [AOA]
- Reducing the Dimensionality of Data with Neural Network, G. Hinton, Science, 2006
- An Instructor’s Guide to (Some of) the Most Amazing Papers in Neuroscience, Harrington et al. Journal of Undergrad Neuroscience Education, 2015