conftrace_

robust learning

120 papers

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Co-occurring keywords

label noise (498) noisy label (321) adversarial learning (1595) sample complexity (1169) robust optimization (307) adversarial robustness (1341) pac learning (283) domain adaptation (4595) graph neural network (3962) deep neural network (1803)

Papers

Misclassification-Aware Robust Learning from Multiple Human Labelers (Student Abstract) AAAI 2026
Multi-Stage Reinforcement Learning for Robust Charging of Quantum Batteries (Student Abstract) AAAI 2026
Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer AAAI 2026
Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentation AAAI 2026
The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards AAAI 2025
Optimized Gradient Clipping for Noisy Label Learning AAAI 2025
RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise AAAI 2025
CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training ICCV 2025
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach ACL 2025
Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness JMLR 2025
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NIPS 2024
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NIPS 2024
HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation CVPR 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models NIPS 2024
On the Computability of Robust PAC Learning COLT 2024
ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations ACL 2024
Active Reinforcement Learning for Robust Building Control AAAI 2024
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks AAAI 2024
Agnostic Multi-Robust Learning using ERM AISTATS 2024
Robust Learning via Conditional Prevalence Adjustment WACV 2024
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models NIPS 2024
Multi-agent Collaborative Perception via Motion-aware Robust Communication Network CVPR 2024
Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness NIPS 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift NIPS 2024
Robust Reinforcement Learning from Corrupted Human Feedback NIPS 2024