Concepedia

Qianli Liao

QL

24

Publications

1.3K

Citations

19

H-Index

2013

Active since

Affiliations

Massachusetts Institute of Technology(Current)

McGovern Institute for Brain Research

Italian Institute of Technology

Qianli Liao is an author at Massachusetts Institute of Technology specializing in engineering, computer science, and deep learning.

Top concepts

EngineeringComputer ScienceDeep LearningMachine LearningData SciencePattern RecognitionArtificial IntelligenceNeuroscienceMachine VisionComputer Vision

Publications per year

2013–2023

24

Publications

24

Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex

Qianli Liao, Tomaso Poggio · arXiv (Cornell University) · 2016 · 193 citations · Full text

Convolutional Neural Network, Residual Networks, Machine Learning +20

When and Why Are Deep Networks Better Than Shallow Ones?

H. N. Mhaskar, Qianli Liao, Tomaso Poggio · Proceedings of the AAAI Conference on Artificial Intelligence · 2017 · 172 citations · Full text

Artificial Intelligence, Compositional Functions, Geometric Learning +15

Theoretical issues in deep networks

Tomaso Poggio, Andrzej Banburski, Qianli Liao · Proceedings of the National Academy of Sciences · 2020 · 153 citations · Full text

Artificial Intelligence, Geometric Learning, Convolutional Neural Network +14

Learning Functions: When Is Deep Better Than Shallow

H. N. Mhaskar, Qianli Liao, Tomaso Poggio · arXiv (Cornell University) · 2016 · 105 citations · Full text

Artificial Intelligence, Geometric Learning, Convolutional Neural Network +12

How Important Is Weight Symmetry in Backpropagation?

Qianli Liao, Joel Z. Leibo, Tomaso Poggio · Proceedings of the AAAI Conference on Artificial Intelligence · 2016 · 85 citations · Full text

Neural Scaling Law, Engineering, Machine Learning +9

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