Co-occurring keywords · papers mentioning both
Papers
Efficient On-Device Training via Gradient Filtering
CVPR 2023
Generalizing Backpropagation for Gradient-Based Interpretability
ACL 2023
Training Spiking Neural Networks with Accumulated Spiking Flow
AAAI 2021
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
NeurIPS 2020
LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition
IJCAI 2020
Training Decision Trees as Replacement for Convolution Layers
AAAI 2020
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks
AAAI 2019
Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm
ICLR 2019
Proximal Backpropagation
ICLR 2018
A Distribution-based Model to Learn Bilingual Word Embeddings
COLING 2016
Backpropagation for Energy-Efficient Neuromorphic Computing
NeurIPS 2015