gaussian noise

Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes ICML 2023 SimpleNet: A Simple Network for Image Anomaly Detection and Localization CVPR 2023 Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation NeurIPS 2023 Asymptotically-Optimal Gaussian Bandits with Side Observations ICML 2022 Benefits of Additive Noise in Composing Classes with Bounded Capacity NeurIPS 2022 Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints NeurIPS 2022 Deep Self-Supervised Learning of Speech Denoising from Noisy Speeches Interspeech 2022 Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation NeurIPS 2022 Policy Smoothing for Provably Robust Reinforcement Learning ICLR 2022 Rethinking Adversarial Transferability from a Data Distribution Perspective ICLR 2022 Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points ICML 2022 A Distribution-dependent Analysis of Meta Learning ICML 2021 An Unsupervised Deep Learning Approach for Real-World Image Denoising ICLR 2021 A Simple Feature Augmentation for Domain Generalization ICCV 2021 On the Inherent Regularization Effects of Noise Injection During Training ICML 2021 On the Relationship between Zipf’s Law of Abbreviation and Interfering Noise in Emergent Languages ACL 2021 Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations ICML 2021 Random Noise Defense Against Query-Based Black-Box Attacks NeurIPS 2021 Consistency Regularization for Certified Robustness of Smoothed Classifiers NeurIPS 2020 Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis ICML 2020 The All-or-Nothing Phenomenon in Sparse Tensor PCA NeurIPS 2020 The Discrete Gaussian for Differential Privacy NeurIPS 2020 Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality ICML 2020 Adversarial Examples Are a Natural Consequence of Test Error in Noise ICML 2019 Certified Adversarial Robustness via Randomized Smoothing ICML 2019