Co-occurring keywords · papers mentioning both
Papers
Can Private Machine Learning Be Fair?
AAAI 2025
Certifiably Quantisation-Robust training and inference of Neural Networks
AISTATS 2025
Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach
ICML 2025
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
ICML 2025
CodeFort: Robust Training for Code Generation Models
EMNLP 2024
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
ICLR 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
CVPR 2024
Robustly Train Normalizing Flows via KL Divergence Regularization
AAAI 2024
Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology
EMNLP 2024
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise
AAAI 2023
Byzantine-Tolerant Methods for Distributed Variational Inequalities
NeurIPS 2023
How To Prevent the Continuous Damage of Noises To Model Training?
CVPR 2023
Learning Adversarially Robust Sparse Networks via Weight Reparameterization
AAAI 2023
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
ICLR 2023
Robust Training for AC-OPF (Student Abstract)
AAAI 2023
Robust Training of Neural Networks against Bias Field Perturbations
AAAI 2023
Smoothly Giving up: Robustness for Simple Models
AISTATS 2023
Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation
NeurIPS 2023
Two Wrongs Don’t Make a Right: Combating Confirmation Bias in Learning with Label Noise
AAAI 2023
Analyzing Modality Robustness in Multimodal Sentiment Analysis
NAACL 2022
ASSIST: Towards Label Noise-Robust Dialogue State Tracking
ACL 2022
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models
EMNLP 2022
Certifiably Robust Variational Autoencoders
AISTATS 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
NeurIPS 2022
Learning With Twin Noisy Labels for Visible-Infrared Person Re-Identification
CVPR 2022