International Conference on Learning Representations
会议地点: Millennium Hall, Addis Ababa ETHIOPIA
The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning.
ICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.
Participants at ICLR span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.
A non-exhaustive list of relevant topics explored at the conference include:
unsupervised, semi-supervised, and supervised representation learning
representation learning for planning and reinforcement learning
metric learning and kernel learning
sparse coding and dimensionality expansion
optimization for representation learning
learning representations of outputs or states
implementation issues, parallelization, software platforms, hardware
applications in vision, audio, speech, natural language processing, robotics, neuroscience, or any other field