Deep Continuous Networks

2 February 2024

Papers citing "Deep Continuous Networks"

33 / 33 papers shown

Title
Resolution learning in deep convolutional networks using scale-space theory Silvia L.Pintea Nergis Tomen Stanley F. Goes Marco Loog Jan van Gemert SupR SSL 63 37 0 07 Jun 2021
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE Juntang Zhuang Nicha Dvornek Xiaoxiao Li S. Tatikonda X. Papademetris James Duncan BDL 105 112 0 03 Jun 2020
Dissecting Neural ODEs Stefano Massaroli Michael Poli Jinkyoo Park Atsushi Yamashita Hajime Asama 99 204 0 19 Feb 2020
The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence T. Sejnowski 46 298 0 12 Feb 2020
How to train your neural ODE: the world of Jacobian and kinetic regularization Chris Finlay J. Jacobsen L. Nurbekyan Adam M. Oberman 64 301 0 07 Feb 2020
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 125 149 0 14 Oct 2019
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks Sanjeev Arora S. Du Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang Dingli Yu AAML 66 162 0 03 Oct 2019
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs J. Kubilius Martin Schrimpf Kohitij Kar Ha Hong N. Majaj ... Kailyn Schmidt Aran Nayebi Daniel M. Bear Daniel L. K. Yamins J. DiCarlo 110 261 0 13 Sep 2019
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields Evan Shelhamer Dequan Wang Trevor Darrell 68 35 0 25 Apr 2019
Augmented Neural ODEs Emilien Dupont Arnaud Doucet Yee Whye Teh BDL 150 632 0 02 Apr 2019
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs Jack W Lindsey Samuel A. Ocko Surya Ganguli Stéphane Deny 64 73 0 03 Jan 2019
Convolutional neural networks with extra-classical receptive fields Brian Hu Stefan Mihalas 44 3 0 27 Oct 2018
Deep Diffeomorphic Normalizing Flows Hadi Salman Payman Yadollahpour Tom Fletcher N. Batmanghelich 62 27 0 08 Oct 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 154 881 0 02 Oct 2018
A rotation-equivariant convolutional neural network model of primary visual cortex Alexander S. Ecker Fabian H. Sinz E. Froudarakis Paul G. Fahey Santiago A. Cadena Edgar Y. Walker Erick Cobos Jacob Reimer A. Tolias Matthias Bethge 56 54 0 27 Sep 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 434 5,157 0 19 Jun 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 124 491 0 12 Apr 2018
Differentiable plasticity: training plastic neural networks with backpropagation Thomas Miconi Jeff Clune Kenneth O. Stanley AI4CE 64 154 0 06 Apr 2018
Group Normalization Yuxin Wu Kaiming He 236 3,670 0 22 Mar 2018
Learning recurrent dynamics in spiking networks Christopher M. Kim Carson C. Chow 33 38 0 18 Mar 2018
Neural system identification for large populations separating "what" and "where" David A. Klindt Alexander S. Ecker Thomas Euler Matthias Bethge 46 122 0 07 Nov 2017
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations Yiping Lu Aoxiao Zhong Quanzheng Li Bin Dong 210 505 0 27 Oct 2017
Recurrent computations for visual pattern completion Hanlin Tang Martin Schrimpf William Lotter Charlotte Moerman Ana Paredes Josue Ortega Caro Walter Hardesty David D. Cox Gabriel Kreiman 55 211 0 07 Jun 2017
Gabor Convolutional Networks Shangzhen Luan Baochang Zhang Chen Chen Xianbin Cao Jiawei Han Jianzhuang Liu BDL 117 344 0 03 May 2017
Continuously Differentiable Exponential Linear Units Jonathan T. Barron 59 141 0 24 Apr 2017
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 126 711 0 14 Dec 2016
Using Fast Weights to Attend to the Recent Past Jimmy Ba Geoffrey E. Hinton Volodymyr Mnih Joel Z Leibo Catalin Ionescu 70 273 0 20 Oct 2016
Structured Receptive Fields in CNNs J. Jacobsen Jan van Gemert Zhongyu Lou A. Smeulders 62 107 0 10 May 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex Q. Liao T. Poggio 245 257 0 13 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Deeply-Recursive Convolutional Network for Image Super-Resolution Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 141 2,508 0 14 Nov 2015
Invariant Scattering Convolution Networks Joan Bruna S. Mallat 129 1,279 0 05 Mar 2012
Group Invariant Scattering S. Mallat 123 991 0 12 Jan 2011