Robust Learning
28 papers
Papers per year
1
5
4
4
1
4
9
'20
'25
Papers
Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI
MIDL 2026
Certified Robust Invariant Polytope Training in Neural Controlled ODEs
L4DC 2026
Consistency Beyond Contrast: Enhancing Open-Vocabulary Object Detection Robustness via Contextual Consistency Learning
CVPR 2026
Diversity over Uniformity: Rethinking Representation in Generated Image Detection
CVPR 2026
Domain Faithfulness through Counterfactually Robust Learning
CLeaR 2026
Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation
MIDL 2026
Learning Robust Medical Image Segmentation with Inductive Bias
MIDL 2026
Multimodal Learning on Low-Quality Data with Conformal Predictive Self-Calibration
CVPR 2026
Taming the Long Tail: Rebalancing Adversarial Training via Adaptive Perturbation
CVPR 2026
AlleNoise - large-scale text classification benchmark dataset with real-world label noise
AISTATS 2025
Automatic Labeling and Correction of Noisy Labels for Robust Self-Supervised Speaker Verification
Interspeech 2025
Efficient Duple Perturbation Robustness in Low-rank MDPs
L4DC 2025
Robust Target Speaker Diarization and Separation via Augmented Speaker Embedding Sampling
Interspeech 2025
Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations
ICLR 2024
AGRO: Adversarial discovery of error-prone Groups for Robust Optimization
ICLR 2023
Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering
EMNLP 2023
Mitigating Memorization of Noisy Labels via Regularization between Representations
ICLR 2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
CVPR 2023
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
AAAI 2022
DeSKO: Stability-Assured Robust Control with a Deep Stochastic Koopman Operator
ICLR 2022
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning
NeurIPS 2022
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation
ICLR 2022
DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions
CVPR 2021
Instance-adaptive training with noise-robust losses against noisy labels
EMNLP 2021
Learning from Noisy Labels with Complementary Loss Functions
AAAI 2021