Qianli Liao
Identifiers
- name variant Qianli Liao 0.60 · backfill
Papers (14)
- Biologically-plausible learning algorithms can scale to large datasets cs.LG · 2018 · author #3
- A Surprising Linear Relationship Predicts Test Performance in Deep Networks cs.LG · 2018 · author #1
- Theory IIIb: Generalization in Deep Networks cs.LG · 2018 · author #2
- Theory of Deep Learning IIb: Optimization Properties of SGD cs.LG · 2018 · author #2
- Theory of Deep Learning III: explaining the non-overfitting puzzle cs.LG · 2017 · author #3
- Theory II: Landscape of the Empirical Risk in Deep Learning cs.LG · 2017 · author #1
- Compression of Deep Neural Networks for Image Instance Retrieval cs.CV · 2017 · author #3
- Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of Dimensionality: a Review cs.LG · 2016 · author #5
- Streaming Normalization: Towards Simpler and More Biologically-plausible Normalizations for Online and Recurrent Learning cs.LG · 2016 · author #1
- View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation cs.NE · 2016 · author #2
- Learning Functions: When Is Deep Better Than Shallow cs.LG · 2016 · author #2
- How Important is Weight Symmetry in Backpropagation? cs.LG · 2015 · author #1
- Unsupervised learning of clutter-resistant visual representations from natural videos cs.CV · 2014 · author #1
- Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines? cs.CV · 2013 · author #1
Mentions
- 1311.4082 #1 · backfill · confidence 0.70 Qianli Liao
Frequent Coauthors
- Tomaso Poggio 14 shared papers
- Brando Miranda 5 shared papers
- Hrushikesh Mhaskar 3 shared papers
- Jack Hidary 3 shared papers
- Joel Z. Leibo 3 shared papers
- Andrzej Banburski 2 shared papers
- Kenji Kawaguchi 2 shared papers
- Lorenzo Rosasco 2 shared papers
- Xavier Boix 2 shared papers
- Alexander Rakhlin 1 shared papers
- Antoine Veillard 1 shared papers
- Chiyuan Zhang 1 shared papers
- Fabio Anselmi 1 shared papers
- Honglin Chen 1 shared papers
- Jie Lin 1 shared papers
- Joel Z Leibo 1 shared papers
- Lingyu Duan 1 shared papers
- Noah Golowich 1 shared papers
- Olivier Mor\`ere 1 shared papers
- Vijay Chandrasekhar 1 shared papers