conftrace_

stochastic neural network

21 papers

Explore in graph

Also known as

SNN

Co-occurring keywords

variational inference (2069) adversarial robustness (1341) adversarial example (564) restricted boltzmann machine (98) generalization bound (652) markov chain monte carlo (725) posterior sampling (152) bayesian inference (1907) few-shot learning (3398) representation learning (6206)

Papers

Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024
ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning UAI 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning ICML 2022
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network NIPS 2022
How Sampling Impacts the Robustness of Stochastic Neural Networks NIPS 2022
Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks NIPS 2022
Conditionally Gaussian PAC-Bayes AISTATS 2022
Weight-covariance alignment for adversarially robust neural networks ICML 2021
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception NIPS 2021
Simple and Effective Stochastic Neural Networks AAAI 2021
Graph Stochastic Neural Networks for Semi-supervised Learning NIPS 2020
Stochastic Neural Network with Kronecker Flow AISTATS 2020
Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks ICML 2020
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach AAAI 2020
Inherent Weight Normalization in Stochastic Neural Networks NIPS 2019
A Bayesian Approach to Generative Adversarial Imitation Learning NIPS 2018
Stochastic Recurrent Neural Network for Speech Recognition INTERSPEECH 2017
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks NIPS 2017
Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016
Fast Sampling-Based Inference in Balanced Neuronal Networks NIPS 2014
Learning Stochastic Feedforward Neural Networks NIPS 2013