Co-occurring keywords · papers mentioning both
Papers
Neural Tangent Kernels Under Stochastic Data Augmentation
AAAI 2026
Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning
ICML 2025
RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models
CoRL 2025
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
COLT 2024
LGPConv: Learnable Gaussian Perturbation Convolution for Lightweight Pansharpening
IJCAI 2023
Differentially Private Sliced Wasserstein Distance
ICML 2021
Langevin Monte Carlo without smoothness
AISTATS 2020
PEP: Parameter Ensembling by Perturbation
NeurIPS 2020
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
AAAI 2020
Learning latent variable structured prediction models with Gaussian perturbations
NeurIPS 2018