conftrace_

stochastic regularization

10 papers

Explore in graph

Co-occurring keywords · papers mentioning both

deep neural network (2) neural network (2) adaptive dropout (1) hidden unit dropout (1) hidden unit regularization (1) denoising autoencoder (1) binary belief network (1) convolutional neural network (1) recurrent neural network (1) loss function (1)

Papers

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