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

ASSIST: Towards Label Noise-Robust Dialogue State Tracking ACL 2022
Towards Robust k-Nearest-Neighbor Machine Translation EMNLP 2022
Robust Image Forgery Detection Over Online Social Network Shared Images CVPR 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation NIPS 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning NIPS 2022
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models EMNLP 2022
Syntactically Robust Training on Partially-Observed Data for Open Information Extraction EMNLP 2022
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks CVPR 2021
Inverted Projection for Robust Speech Translation ACL 2021
DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions CVPR 2021
Power up! Robust Graph Convolutional Network via Graph Powering AAAI 2021
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model AAAI 2021
Self-Progressing Robust Training AAAI 2021
Multi-Layer Random Perturbation Training for improving Model Generalization Efficiently EMNLP 2021
Learning Deep Neural Networks under Agnostic Corrupted Supervision ICML 2021
Learning from Noisy Labels with Complementary Loss Functions AAAI 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NIPS 2021
Sample Selection for Fair and Robust Training NIPS 2021
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training EMNLP 2021
Coresets for Robust Training of Deep Neural Networks against Noisy Labels NIPS 2020
Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training MIDL 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training ICML 2020
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data AAAI 2020
Distilling Effective Supervision From Severe Label Noise CVPR 2020
Robust Federated Learning via Collaborative Machine Teaching AAAI 2020