Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning

Iro Laina, Ruth Fong, Andrea Vedaldi. Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]

@inproceedings{LainaFV20,
  title = {Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning},
  author = {Iro Laina and Ruth Fong and Andrea Vedaldi},
  year = {2020},
  url = {https://proceedings.neurips.cc/paper/2020/hash/98dce83da57b0395e163467c9dae521b-Abstract.html},
  researchr = {https://researchr.org/publication/LainaFV20},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
  editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}