conftrace_

robust training

59 papers

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Co-occurring keywords

label noise (498) adversarial robustness (1341) noisy label (321) deep neural network (1803) adversarial training (1262) noisy label learning (163) adversarial attack (1621) model robustness (480) adversarial example (564) robust learning (120)

Papers

Can Private Machine Learning Be Fair? AAAI 2025
CodeFort: Robust Training for Code Generation Models EMNLP 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise CVPR 2024
Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology EMNLP 2024
Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024
How To Prevent the Continuous Damage of Noises To Model Training? CVPR 2023
Two Wrongs Don’t Make a Right: Combating Confirmation Bias in Learning with Label Noise AAAI 2023
Byzantine-Tolerant Methods for Distributed Variational Inequalities NIPS 2023
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise AAAI 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
Learning Adversarially Robust Sparse Networks via Weight Reparameterization AAAI 2023
Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation NIPS 2023
Robust Image Forgery Detection Over Online Social Network Shared Images CVPR 2022
Analyzing Modality Robustness in Multimodal Sentiment Analysis NAACL 2022
Robust Training of Neural Networks Using Scale Invariant Architectures ICML 2022
The Impact of Differential Privacy on Group Disparity Mitigation NAACL 2022
With False Friends Like These, Who Can Notice Mistakes? AAAI 2022
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent AISTATS 2022
Certifiably Robust Variational Autoencoders AISTATS 2022
Not All Poisons are Created Equal: Robust Training against Data Poisoning ICML 2022
Understanding Robust Learning through the Lens of Representation Similarities NIPS 2022
Towards Robust k-Nearest-Neighbor Machine Translation EMNLP 2022
Toward Efficient Robust Training against Union of $\ell_p$ Threat Models NIPS 2022