Qianli Liao - RankMe

30 papers A* 2B 1Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Hierarchical Reasoning Models: Perspectives and Misconceptions. CoRR Renee Ge, Qianli Liao, Tomaso A. Poggio
2024	J	`jnl`	Self-Assembly of a Biologically Plausible Learning Circuit. CoRR Qianli Liao, Liu Ziyin, Yulu Gan, Brian Cheung, Mark Harnett, Tomaso A. Poggio
2024	—	`—`	Understanding Neural Networks from Theoretical and Biological Perspectives Qianli Liao
2021	J	`jnl`	Explicit regularization and implicit bias in deep network classifiers trained with the square loss. CoRR Tomaso A. Poggio, Qianli Liao
2020	J	`jnl`	Hierarchically Local Tasks and Deep Convolutional Networks. CoRR Arturo Deza, Qianli Liao, Andrzej Banburski, Tomaso A. Poggio
2019	—	`conf`	Biologically-Plausible Learning Algorithms Can Scale to Large Datasets. ICLR (Poster) Will Xiao, Honglin Chen, Qianli Liao, Tomaso A. Poggio
2019	J	`jnl`	Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization. CoRR Tomaso A. Poggio, Andrzej Banburski, Qianli Liao
2019	J	`jnl`	Theory III: Dynamics and Generalization in Deep Networks. CoRR Andrzej Banburski, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Bob Liang, Jack Hidary, Tomaso A. Poggio
2018	J	`jnl`	A Surprising Linear Relationship Predicts Test Performance in Deep Networks. CoRR Qianli Liao, Brando Miranda, Andrzej Banburski, Jack Hidary, Tomaso A. Poggio
2018	J	`jnl`	Biologically-plausible learning algorithms can scale to large datasets. CoRR Will Xiao, Honglin Chen, Qianli Liao, Tomaso A. Poggio
2018	J	`jnl`	Theory IIIb: Generalization in Deep Networks. CoRR Tomaso A. Poggio, Qianli Liao, Brando Miranda, Andrzej Banburski, Xavier Boix, Jack Hidary
2018	J	`jnl`	Theory of Deep Learning III: explaining the non-overfitting puzzle. CoRR Tomaso A. Poggio, Kenji Kawaguchi, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Xavier Boix, Jack Hidary, Hrushikesh N. Mhaskar
2018	J	`jnl`	Theory of Deep Learning IIb: Optimization Properties of SGD. CoRR Chiyuan Zhang, Qianli Liao, Alexander Rakhlin, Brando Miranda, Noah Golowich, Tomaso A. Poggio
2017	B	`conf`	Compression of Deep Neural Networks for Image Instance Retrieval. DCC Vijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Tomaso A. Poggio
2017	J	`jnl`	Compression of Deep Neural Networks for Image Instance Retrieval. CoRR Vijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Tomaso A. Poggio
2017	J	`jnl`	Theory II: Landscape of the Empirical Risk in Deep Learning. CoRR Tomaso A. Poggio, Qianli Liao
2017	A*	`conf`	When and Why Are Deep Networks Better Than Shallow Ones? AAAI Hrushikesh N. Mhaskar, Qianli Liao, Tomaso A. Poggio
2017	J	`jnl`	Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review. Int. J. Autom. Comput. Tomaso A. Poggio, Hrushikesh N. Mhaskar, Lorenzo Rosasco, Brando Miranda, Qianli Liao
2016	J	`jnl`	Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex. CoRR Qianli Liao, Tomaso A. Poggio
2016	A*	`conf`	How Important Is Weight Symmetry in Backpropagation? AAAI Qianli Liao, Joel Z. Leibo, Tomaso A. Poggio
2016	J	`jnl`	Learning Real and Boolean Functions: When Is Deep Better Than Shallow. CoRR Hrushikesh N. Mhaskar, Qianli Liao, Tomaso A. Poggio
2016	J	`jnl`	Streaming Normalization: Towards Simpler and More Biologically-plausible Normalizations for Online and Recurrent Learning. CoRR Qianli Liao, Kenji Kawaguchi, Tomaso A. Poggio
2016	J	`jnl`	View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation. CoRR Joel Z. Leibo, Qianli Liao, Winrich Freiwald, Fabio Anselmi, Tomaso A. Poggio
2016	J	`jnl`	Why and When Can Deep - but Not Shallow - Networks Avoid the Curse of Dimensionality: a Review. CoRR Tomaso A. Poggio, Hrushikesh N. Mhaskar, Lorenzo Rosasco, Brando Miranda, Qianli Liao
2015	J	`jnl`	How Important is Weight Symmetry in Backpropagation? CoRR Qianli Liao, Joel Z. Leibo, Tomaso A. Poggio
2015	J	`jnl`	The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex. PLoS Comput. Biol. Joel Z. Leibo, Qianli Liao, Fabio Anselmi, Tomaso A. Poggio
2014	—	`conf`	Subtasks of Unconstrained Face Recognition. VISAPP (2) Joel Z. Leibo, Qianli Liao, Tomaso A. Poggio
2014	J	`jnl`	Unsupervised learning of clutter-resistant visual representations from natural videos. CoRR Qianli Liao, Joel Z. Leibo, Tomaso A. Poggio
2013	J	`jnl`	Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines? CoRR Qianli Liao, Joel Z. Leibo, Youssef Mroueh, Tomaso A. Poggio
2013	—	`conf`	Learning invariant representations and applications to face verification. NIPS Qianli Liao, Joel Z. Leibo, Tomaso A. Poggio