Fetching the paper…
Reading the bibliography…
We propose the predictive forward-forward (PFF) algorithm for conducting credit assignment in neural systems.
Treatise on physiological optics, 3 vols
Helmholtz, H. v · 1924
Earlier work this paper cites.
The organization of behavior, 1949
Hebb, Donald O, e. a · 1949
Earlier work this paper cites.
The representation of the cumulative rounding error of an algorithm as a Taylor expansion of the local rounding errors
Linnainmaa, S · 1970
Earlier work this paper cites.
Applications of advances in nonlinear sensitivity analysis
Werbos, P. J · 1981
Earlier work this paper cites.
Learning representations by back-propagating errors
Rumelhart, D. E., Hinton, G. E., and Williams, R. J · 1986
Earlier work this paper cites.
Competitive learning: From interactive activation to adaptive resonance
Grossberg, S · 1987
Earlier work this paper cites.
Learning representations by recirculation
Hinton, G. E., and McClelland, J. L · 1988
Earlier work this paper cites.
The recent excitement about neural networks
Crick, F · 1989
Earlier work this paper cites.
The significance of real neuron architectures for neural network simulations
Shepherd, G. M · 1990
Earlier work this paper cites.
Contrastive hebbian learning in the continuous hopfield model
Movellan, J. R · 1991
Earlier work this paper cites.
The Neurobiology of neural networks
Gardner, D · 1993
Earlier work this paper cites.
The" wake-sleep" algorithm for unsupervised neural networks
Hinton, G. E., Dayan, P., Frey, B. J., and Neal, R. M · 1995
Earlier work this paper cites.
Sparse coding with an overcomplete basis set: A strategy employed by v1?
Olshausen, B. A., and Field, D. J · 1997
Earlier work this paper cites.
The mnist database of handwritten digits
LeCun, Y · 1998
Earlier work this paper cites.
Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects
Rao, R. P., and Ballard, D. H · 1999
Earlier work this paper cites.
Training products of experts by minimizing contrastive divergence
Hinton, G. E · 2002
Earlier work this paper cites.
Classification using discriminative restricted boltzmann machines
Larochelle, H., and Bengio, Y · 2008
Earlier work this paper cites.
The free-energy principle: a unified brain theory?
Friston, K · 2010
Earlier work this paper cites.
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Gutmann, M., and Hyvärinen, A · 2010
Earlier work this paper cites.
Efficient learning of deep boltzmann machines
Salakhutdinov, R., and Larochelle, H · 2010
Earlier work this paper cites.
Canonical microcircuits for predictive coding
Bastos, A. M., Usrey, W. M., Adams, R. A., Mangun, G. R., Fries, P., and Friston, K. J · 2012
Earlier work this paper cites.
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Saxe, A. M., McClelland, J. L., and Ganguli, S · 2013
Cited alongside, same era.
Deep generative stochastic networks trainable by backprop
Bengio, Y., Laufer, E., Alain, G., and Yosinski, J · 2014
Cited alongside, same era.
Bornschein, J., and Bengio, Y · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Kingma, D., and Ba, J · 2014
Cited alongside, same era.
Random feedback weights support learning in deep neural networks
Lillicrap, T. P., Cownden, D., Tweed, D. B., and Akerman, C. J · 2014
Training neural networks with local error signals
Nøkland, A., and Eidnes, L. H · 2019
Later among the works it cites.
Spiking neural predictive coding for continual learning from data streams
Ororbia, A · 2019
Later among the works it cites.
Lifelong neural predictive coding: Sparsity yields less forgetting when learning cumulatively
Ororbia, A., Mali, A., Kifer, D., and Giles, C. L · 2019
Later among the works it cites.
Biologically motivated algorithms for propagating local target representations
Ororbia, A. G., and Mali, A · 2019
Later among the works it cites.
Energy and policy considerations for deep learning in NLP
Strubell, E., Ganesh, A., and McCallum, A · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Kickback cuts backprop’s red-tape: Biologically plausible credit assignment in neural networks
Balduzzi, D., Vanchinathan, H., and Buhmann, J. M · 2015
Cited alongside, same era.
Difference target propagation
Lee, D.-H., Zhang, S., Fischer, A., and Bengio, Y · 2015
Cited alongside, same era.
Online learning of deep hybrid architectures for semi-supervised categorization
Ororbia, A. G., Reitter, D., Wu, J., and Giles, C. L · 2015
Cited alongside, same era.
Decoupled neural interfaces using synthetic gradients
Jaderberg, M., Czarnecki, W. M., Osindero, S., Vinyals, O., Graves, A., and Kavukcuoglu, K · 2016
Cited alongside, same era.
Toward an integration of deep learning and neuroscience
Marblestone, A. H., Wayne, G., and Kording, K. P · 2016
Cited alongside, same era.
Direct feedback alignment provides learning in deep neural networks
Nøkland, A · 2016
Cited alongside, same era.
Mastering the game of go with deep neural networks and tree search
Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., and Lanctot, Marc, e. a · 2016
Cited alongside, same era.
Belilovsky, E., Eickenberg, M., and Oyallon, E · 2020
Later among the works it cites.
Black boxes, not green: Mythologizing artificial intelligence and omitting the environment
Brevini, B · 2020
Later among the works it cites.
Gpt-3: Its nature, scope, limits, and consequences
Floridi, L., and Chiriatti, M · 2020
Later among the works it cites.
Synaptic plasticity dynamics for deep continuous local learning (decolle)
Kaiser, J., Mostafa, H., and Neftci, E · 2020
Later among the works it cites.
Green AI
Schwartz, R., Dodge, J., Smith, N. A., and Etzioni, O · 2020
Later among the works it cites.
Afro-mnist: Synthetic generation of mnist-style datasets for low-resource languages, 2020
Wu, D. J., Yang, A. C., and Prabhu, V. U · 2020
Later among the works it cites.
Investigating backpropagation alternatives when learning to dynamically count with recurrent neural networks
Mali, A., Ororbia, A., Kifer, D., and Giles, L · 2021
Later among the works it cites.
An empirical analysis of recurrent learning algorithms in neural lossy image compression systems
Mali, A., Ororbia, A. G., Kifer, D., and Giles, C. L · 2021
Later among the works it cites.
Associative memories via predictive coding
Salvatori, T., Song, Y., Hong, Y., Sha, L., Frieder, S., Xu, Z., Bogacz, R., and Lukasiewicz, T · 2021
Later among the works it cites.
Error-driven input modulation: solving the credit assignment problem without a backward pass
Dellaferrera, G., and Kreiman, G · 2022
Later among the works it cites.
The forward-forward algorithm: Some preliminary investigations
Hinton, G · 2022
Later among the works it cites.
The neural coding framework for learning generative models
Ororbia, A., and Kifer, D · 2022
Later among the works it cites.
CogNGen: Constructing the kernel of a hyperdimensional predictive processing cognitive architecture
Ororbia, A. G., and Kelly, M. A · 2022
Later among the works it cites.
Reverse differentiation via predictive coding
Salvatori, T., Song, Y., Xu, Z., Lukasiewicz, T., Bogacz, R., Lin, H., Fan, Y., Zhang, J., Bai, B., and Xu, Zhenghua, e. a · 2022
Later among the works it cites.
Signal propagation: The framework for learning and inference in a forward pass
Kohan, A., Rietman, E. A., and Siegelmann, H. T · 2023
Closest in time.