conftrace_

backpropagation through time

19 papers

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Co-occurring keywords

recurrent neural network (1790) spiking neural network (331) surrogate gradient (31) long-term dependency (44) memory optimization (114) neuromorphic computing (95) credit assignment (112) real-time recurrent learning (3) gradient descent (1144) online learning (1777)

Papers

Pseudo-Spiking Neurons: A Noise-Based Training Framework for Heterogeneous-Latency Spiking Neural Networks AAAI 2026
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training AAAI 2024
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models AAAI 2024
Unconditional stability of a recurrent neural circuit implementing divisive normalization NIPS 2024
Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation NIPS 2024
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks ICCV 2023
Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks JMLR 2023
Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies NIPS 2023
SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks NIPS 2023
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators NIPS 2022
Learning Sampling Distributions for Model Predictive Control CORL 2022
Online Training Through Time for Spiking Neural Networks NIPS 2022
Stable and expressive recurrent vision models NIPS 2020
Target Propagation in Recurrent Neural Networks JMLR 2020
Long short-term memory and Learning-to-learn in networks of spiking neurons NIPS 2018
Learning Longer-term Dependencies in RNNs with Auxiliary Losses ICML 2018
Approximating Real-Time Recurrent Learning with Random Kronecker Factors NIPS 2018
Memory-Efficient Backpropagation Through Time NIPS 2016
Photonic Delay Systems as Machine Learning Implementations JMLR 2015