conftrace_

stochastic regularization

9 papers

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Co-occurring keywords

deep neural network (1803) adaptive dropout (4) hidden unit dropout (1) hidden unit regularization (1) denoising autoencoder (102) binary belief network (1) convolutional neural network (4226) recurrent neural network (1790) loss function (462) pre-trained model (412)

Papers

High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization WACV 2026
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines NIPS 2024
Training Quantised Neural Networks With STE Variants: The Additive Noise Annealing Algorithm CVPR 2022
Regularizing Towards Permutation Invariance In Recurrent Models NIPS 2020
Regularizing Neural Networks via Stochastic Branch Layers ACML 2019
Critical initialisation for deep signal propagation in noisy rectifier neural networks NIPS 2018
Dropout distillation ICML 2016
Spectral Representations for Convolutional Neural Networks NIPS 2015
Adaptive dropout for training deep neural networks NIPS 2013