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168,932 papers · 148 categories

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6 results for non-determinism

A new neural network model enhances adversarial robustness without sacrificing task performance.

problem Adversarial attacks on neural networks deployed in real-world scenarios.
method Proposes a novel neural network paradigm where each parameter is modeled as a statistical distribution with learnable parameters.
result Demonstrates highly robust performance to various adversarial attacks while maintaining task-specific performance.

Batch normalization with regularization turns deterministic autoencoders into generative models.

problem Creating generative models from deterministic autoencoders.
method Using batch normalization as a source of non-determinism and adding entropic regularization.
result Deterministic autoencoders can be transformed into generative models with similar performance to variational autoencoders.

In recent years, significant progress has been made in solving challenging problems across various domains using deep reinforcement learning (RL). Reproducing existing work and accurately judging the improvements offered by novel methods is vital to sustaining this progress. Unfortunately, reproducing results for state…

2017-09-19abs ↗pdf ↗