Learning Smooth Neural Functions via Lipschitz Regularization

Author:

Liu Hsueh-Ti Derek1,Williams Francis2,Jacobson Alec3,Fidler Sanja4,Litany Or2

Affiliation:

1. Computer Science, University of Toronto, Canada

2. NVIDIA, United States of America

3. Computer Science, University of Toronto, Canada and Adobe Research, Canada

4. Computer Science, University of Toronto, Canada and NVIDIA, Canada

Funder

Ontario Early Research Award program

Canada Research Chairs Program

NSERC Discovery

New Frontiers of Research Fund

DSI Catalyst Grant program

Sloan Research Fellowship

Adobe Systems

Publisher

ACM

Reference56 articles.

1. Cem Anil , James Lucas , and Roger  B. Grosse . 2019 . Sorting Out Lipschitz Function Approximation . In Proceedings of the 36th International Conference on Machine Learning, ICML 2019 , 9-15 June 2019, Long Beach, California, USA(Proceedings of Machine Learning Research, Vol. 97), Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). PMLR, 291–301. Cem Anil, James Lucas, and Roger B. Grosse. 2019. Sorting Out Lipschitz Function Approximation. In Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA(Proceedings of Machine Learning Research, Vol. 97), Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). PMLR, 291–301.

2. Martin Arjovsky , Soumith Chintala , and Léon Bottou . 2017 . Wasserstein generative adversarial networks . In International conference on machine learning. PMLR, 214–223 . Martin Arjovsky, Soumith Chintala, and Léon Bottou. 2017. Wasserstein generative adversarial networks. In International conference on machine learning. PMLR, 214–223.

3. An Iterative Algorithm for Computing the Best Estimate of an Orthogonal Matrix

4. James Bradbury Roy Frostig Peter Hawkins Matthew James Johnson Chris Leary Dougal Maclaurin George Necula Adam Paszke Jake VanderPlas Skye Wanderman-Milne and Qiao Zhang. 2018. JAX: composable transformations of Python+NumPy programs. http://github.com/google/jax James Bradbury Roy Frostig Peter Hawkins Matthew James Johnson Chris Leary Dougal Maclaurin George Necula Adam Paszke Jake VanderPlas Skye Wanderman-Milne and Qiao Zhang. 2018. JAX: composable transformations of Python+NumPy programs. http://github.com/google/jax

5. Angel X. Chang Thomas A. Funkhouser Leonidas J. Guibas Pat Hanrahan Qi-Xing Huang Zimo Li Silvio Savarese Manolis Savva Shuran Song Hao Su Jianxiong Xiao Li Yi and Fisher Yu. 2015. ShapeNet: An Information-Rich 3D Model Repository. CoRR abs/1512.03012(2015). Angel X. Chang Thomas A. Funkhouser Leonidas J. Guibas Pat Hanrahan Qi-Xing Huang Zimo Li Silvio Savarese Manolis Savva Shuran Song Hao Su Jianxiong Xiao Li Yi and Fisher Yu. 2015. ShapeNet: An Information-Rich 3D Model Repository. CoRR abs/1512.03012(2015).

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