Timezone: »

 
Oral
Differentiable Dynamic Normalization for Learning Deep Representation
Ping Luo · Peng Zhanglin · Shao Wenqi · Zhang ruimao · Ren jiamin · Wu lingyun

Wed Jun 12 04:35 PM -- 04:40 PM (PDT) @ Hall A

This work presents Dynamic Normalization (DN), which is able to learn arbitrary normalization operations for different convolutional layers in a deep ConvNet. Unlike existing normalization approaches that predefined computations of the statistics (mean and variance), DN learns to estimate them. DN has several appealing benefits. First, it adapts to various networks, tasks, and batch sizes. Second, it can be easily implemented and trained in a differentiable end-to-end manner with merely small number of parameters. Third, its matrix formulation represents a wide range of normalization methods, shedding light on analyzing them theoretically. Extensive studies show that DN outperforms its counterparts in CIFAR10 and ImageNet.

Author Information

Ping Luo (The University of Hong Kong)
Peng Zhanglin (SenseTime)
Shao Wenqi (CUHK)
Zhang ruimao (cuhk)
Ren jiamin (sensetime)
Wu lingyun (sensetime)

Related Events (a corresponding poster, oral, or spotlight)

More from the Same Authors

  • 2023 Poster: $\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation »
    CHENGYUE WU · Teng Wang · Yixiao Ge · Zeyu Lu · Ruisong Zhou · Ying Shan · Ping Luo
  • 2023 Poster: AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners »
    Zhixuan Liang · Yao Mu · Mingyu Ding · Fei Ni · Masayoshi Tomizuka · Ping Luo
  • 2023 Poster: ChiPFormer: Transferable Chip Placement via Offline Decision Transformer »
    Yao LAI · Jinxin Liu · Zhentao Tang · Bin Wang · Jianye Hao · Ping Luo
  • 2023 Oral: AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners »
    Zhixuan Liang · Yao Mu · Mingyu Ding · Fei Ni · Masayoshi Tomizuka · Ping Luo
  • 2022 Poster: Flow-based Recurrent Belief State Learning for POMDPs »
    Xiaoyu Chen · Yao Mu · Ping Luo · Shengbo Li · Jianyu Chen
  • 2022 Spotlight: Flow-based Recurrent Belief State Learning for POMDPs »
    Xiaoyu Chen · Yao Mu · Ping Luo · Shengbo Li · Jianyu Chen
  • 2020 Poster: Channel Equilibrium Networks for Learning Deep Representation »
    Wenqi Shao · Shitao Tang · Xingang Pan · Ping Tan · Xiaogang Wang · Ping Luo
  • 2019 : Poster discussion »
    Roman Novak · Maxime Gabella · Frederic Dreyer · Siavash Golkar · Anh Tong · Irina Higgins · Mirco Milletari · Joe Antognini · Sebastian Goldt · Adín Ramírez Rivera · Roberto Bondesan · Ryo Karakida · Remi Tachet des Combes · Michael Mahoney · Nicholas Walker · Stanislav Fort · Samuel Smith · Rohan Ghosh · Aristide Baratin · Diego Granziol · Stephen Roberts · Dmitry Vetrov · Andrew Wilson · César Laurent · Valentin Thomas · Simon Lacoste-Julien · Dar Gilboa · Daniel Soudry · Anupam Gupta · Anirudh Goyal · Yoshua Bengio · Erich Elsen · Soham De · Stanislaw Jastrzebski · Charles H Martin · Samira Shabanian · Aaron Courville · Shorato Akaho · Lenka Zdeborova · Ethan Dyer · Maurice Weiler · Pim de Haan · Taco Cohen · Max Welling · Ping Luo · zhanglin peng · Nasim Rahaman · Loic Matthey · Danilo J. Rezende · Jaesik Choi · Kyle Cranmer · Lechao Xiao · Jaehoon Lee · Yasaman Bahri · Jeffrey Pennington · Greg Yang · Jiri Hron · Jascha Sohl-Dickstein · Guy Gur-Ari
  • 2019 : Poster Session 1 (all papers) »
    Matilde Gargiani · Yochai Zur · Chaim Baskin · Evgenii Zheltonozhskii · Liam Li · Ameet Talwalkar · Xuedong Shang · Harkirat Singh Behl · Atilim Gunes Baydin · Ivo Couckuyt · Tom Dhaene · Chieh Lin · Wei Wei · Min Sun · Orchid Majumder · Michele Donini · Yoshihiko Ozaki · Ryan P. Adams · Christian Geißler · Ping Luo · zhanglin peng · · Ruimao Zhang · John Langford · Rich Caruana · Debadeepta Dey · Charles Weill · Xavi Gonzalvo · Scott Yang · Scott Yak · Eugen Hotaj · Vladimir Macko · Mehryar Mohri · Corinna Cortes · Stefan Webb · Jonathan Chen · Martin Jankowiak · Noah Goodman · Aaron Klein · Frank Hutter · Mojan Javaheripi · Mohammad Samragh · Sungbin Lim · Taesup Kim · SUNGWOONG KIM · Michael Volpp · Iddo Drori · Yamuna Krishnamurthy · Kyunghyun Cho · Stanislaw Jastrzebski · Quentin de Laroussilhe · Mingxing Tan · Xiao Ma · Neil Houlsby · Andrea Gesmundo · Zalán Borsos · Krzysztof Maziarz · Felipe Petroski Such · Joel Lehman · Kenneth Stanley · Jeff Clune · Pieter Gijsbers · Joaquin Vanschoren · Felix Mohr · Eyke Hüllermeier · Zheng Xiong · Wenpeng Zhang · Wenwu Zhu · Weijia Shao · Aleksandra Faust · Michal Valko · Michael Y Li · Hugo Jair Escalante · Marcel Wever · Andrey Khorlin · Tara Javidi · Anthony Francis · Saurajit Mukherjee · Jungtaek Kim · Michael McCourt · Saehoon Kim · Tackgeun You · Seungjin Choi · Nicolas Knudde · Alexander Tornede · Ghassen Jerfel
  • 2017 Poster: Learning Deep Architectures via Generalized Whitened Neural Networks »
    Ping Luo
  • 2017 Talk: Learning Deep Architectures via Generalized Whitened Neural Networks »
    Ping Luo