conftrace_

gaussian noise

56 papers

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Co-occurring keywords

adversarial robustness (1341) self-supervised learning (3777) independent component analysis (116) neural network (6616) diffusion model (3751) differential privacy (1016) regret bound (1926) randomized smoothing (87) blind source separation (62) certified robustness (116)

Papers

On the Zero-shot Adversarial Robustness of Vision-Language Models: A Truly Zero-shot and Training-free Approach CVPR 2025
CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification IJCAI 2025
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise CVPR 2025
The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation ICCV 2025
Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution AAAI 2025
Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising ICCV 2025
Instance-based Max-margin for Practical Few-shot Recognition CVPR 2024
Nonparametric Evaluation of Noisy ICA Solutions NIPS 2024
On the Privacy of Selection Mechanisms with Gaussian Noise AISTATS 2024
Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training AISTATS 2024
Generative Deduplication For Socia Media Data Selection EMNLP 2024
SimpleNet: A Simple Network for Image Anomaly Detection and Localization CVPR 2023
Contrastive Learning with the Feature Reconstruction Amplifier AAAI 2023
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation NIPS 2023
Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes ICML 2023
Communication-Constrained Bandits under Additive Gaussian Noise ICML 2023
Asymptotically-Optimal Gaussian Bandits with Side Observations ICML 2022
Benefits of Additive Noise in Composing Classes with Bounded Capacity NIPS 2022
Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation NIPS 2022
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points ICML 2022
Deep Self-Supervised Learning of Speech Denoising from Noisy Speeches INTERSPEECH 2022
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints NIPS 2022
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 IJCNLP 2021
Random Noise Defense Against Query-Based Black-Box Attacks NIPS 2021