Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures

12 July 2018

Papers citing "Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures"

33 / 133 papers shown

Title
Large-Scale Gradient-Free Deep Learning with Recursive Local Representation Alignment Alexander Ororbia A. Mali Daniel Kifer C. Lee Giles 13 2 0 10 Feb 2020
Revisiting Spatial Invariance with Low-Rank Local Connectivity Gamaleldin F. Elsayed Prajit Ramachandran Jonathon Shlens Simon Kornblith 33 43 0 07 Feb 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future Grace W. Lindsay MedIm 35 423 0 20 Jan 2020
Biologically-Motivated Deep Learning Method using Hierarchical Competitive Learning T. Shinozaki SSL 6 2 0 04 Jan 2020
Are skip connections necessary for biologically plausible learning rules? Daniel Jiwoong Im Rutuja Patil K. Branson 9 1 0 04 Dec 2019
Spike-based causal inference for weight alignment Jordan Guerguiev Konrad Paul Kording Blake A. Richards CML 22 23 0 03 Oct 2019
Learning in the Machine: To Share or Not to Share? J. Ott Erik J. Linstead Nicholas LaHaye Pierre Baldi 19 16 0 23 Sep 2019
Accelerated CNN Training Through Gradient Approximation Ziheng Wang Sree Harsha Nelaturu 122 5 0 15 Aug 2019
The HSIC Bottleneck: Deep Learning without Back-Propagation Kurt Wan-Duo Ma J. P. Lewis W. Kleijn BDL 31 128 0 05 Aug 2019
Deep learning research landscape & roadmap in a nutshell: past, present and future -- Towards deep cortical learning Aras R. Dargazany 22 0 0 30 Jul 2019
Fully Decoupled Neural Network Learning Using Delayed Gradients Huiping Zhuang Yi Wang Qinglai Liu Shuai Zhang Zhiping Lin FedML 14 29 0 21 Jun 2019
Stand-Alone Self-Attention in Vision Models Prajit Ramachandran Niki Parmar Ashish Vaswani Irwan Bello Anselm Levskaya Jonathon Shlens VLM SLR ViT 38 1,195 0 13 Jun 2019
Associated Learning: Decomposing End-to-end Backpropagation based on Auto-encoders and Target Propagation Yu-Wei Kao Hung-Hsuan Chen BDL 20 5 0 13 Jun 2019
Principled Training of Neural Networks with Direct Feedback Alignment Julien Launay Iacopo Poli Florent Krzakala 19 35 0 11 Jun 2019
Learning to solve the credit assignment problem B. Lansdell P. Prakash Konrad Paul Kording 11 50 0 03 Jun 2019
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes Johannes C. Thiele O. Bichler A. Dupret 15 32 0 03 Jun 2019
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting Alexander Ororbia A. Mali Daniel Kifer C. Lee Giles CLL KELM 32 15 0 25 May 2019
Deep Learning without Weight Transport Mohamed Akrout Collin Wilson Peter C. Humphreys Timothy Lillicrap D. Tweed CVBM 23 131 0 10 Apr 2019
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks Zahra Atashgahi Joost Pieterse Shiwei Liu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 35 15 0 17 Mar 2019
Biologically plausible deep learning -- but how far can we go with shallow networks? Bernd Illing W. Gerstner Johanni Brea 14 94 0 27 Feb 2019
Direct Feedback Alignment with Sparse Connections for Local Learning Brian Crafton A. Parihar Evan Gebhardt A. Raychowdhury 6 56 0 30 Jan 2019
Loss Landscapes of Regularized Linear Autoencoders D. Kunin Jonathan M. Bloom A. Goeva C. Seed 28 91 0 23 Jan 2019
Decoupled Greedy Learning of CNNs Eugene Belilovsky Michael Eickenberg Edouard Oyallon 6 114 0 23 Jan 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 23 225 0 20 Jan 2019
Greedy Layerwise Learning Can Scale to ImageNet Eugene Belilovsky Michael Eickenberg Edouard Oyallon 9 180 0 29 Dec 2018
Feedback alignment in deep convolutional networks Theodore H. Moskovitz Ashok Litwin-Kumar L. F. Abbott 27 59 0 12 Dec 2018
Deep learning with asymmetric connections and Hebbian updates Y. Amit 13 43 0 19 Nov 2018
Biologically-plausible learning algorithms can scale to large datasets Y. Chitour Honglin Chen Zhenyu Liao T. Poggio 11 73 0 08 Nov 2018
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes Roman Novak Lechao Xiao Jaehoon Lee Yasaman Bahri Greg Yang Jiri Hron Daniel A. Abolafia Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 25 306 0 11 Oct 2018
An Adaptive Locally Connected Neuron Model: Focusing Neuron F. Boray Tek 24 5 0 31 Aug 2018
Unsupervised Learning by Competing Hidden Units Dmitry Krotov J. Hopfield SSL 9 165 0 26 Jun 2018
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables A. Choromańska Benjamin Cowen Yara Rizk Ronny Luss Mattia Rigotti ... Brian Kingsbury Paolo Diachille V. Gurev Ravi Tejwani Djallel Bouneffouf 16 52 0 24 Jun 2018
The Roles of Supervised Machine Learning in Systems Neuroscience Joshua I. Glaser Ari S. Benjamin Roozbeh Farhoodi Konrad Paul Kording 18 114 0 21 May 2018