Co-occurring keywords · papers mentioning both
Papers
Feasible Action Search for Bandit Linear Programs via Thompson Sampling
ICML 2025
Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape
ICML 2025
Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions
COLT 2025
Enhancing Adversarial Robustness in SNNs with Sparse Gradients
ICML 2024
How to Escape Sharp Minima with Random Perturbations
ICML 2024
Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization
AAAI 2023
TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations
ACL 2023
Approximate Cluster Recovery from Noisy Labels
COLT 2022
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
NeurIPS 2022
Using Random Perturbations to Mitigate Adversarial Attacks on NLP Models
AAAI 2022
Multi-Layer Random Perturbation Training for improving Model Generalization Efficiently
EMNLP 2021
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation
AISTATS 2021
Model-Agnostic Adversarial Detection by Random Perturbations
IJCAI 2019