Co-occurring keywords · papers mentioning both
Papers
Defending Unauthorized Model Merging via Dual-Stage Weight Protection
CVPR 2026
Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks
ICLR 2025
Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks
AAAI 2025
Multi-view Fusion and Parameter Perturbation for Few-Shot Class-Incremental Audio Classification
Interspeech 2025
Natural Perturbations for Black-box Training of Neural Networks by Zeroth-Order Optimization
ICML 2025
Querying Easily Flip-flopped Samples for Deep Active Learning
ICLR 2024
Accelerating Dataset Distillation via Model Augmentation
CVPR 2023
Adversarial Parameter Attack on Deep Neural Networks
ICML 2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency
EMNLP 2023
MoPe: Model Perturbation based Privacy Attacks on Language Models
EMNLP 2023
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization
EMNLP 2022
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better
ACL 2022
Understanding the Difficulty of Training Transformers
EMNLP 2020
Cascading Sum-Product Networks using Robustness
PGM 2018
Unbiased Objective Estimation in Predictive Optimization
ICML 2018
Global Sensitivity Analysis for MAP Inference in Graphical Models
NeurIPS 2014