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Found 5 papers, 2 papers with code
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation
In this paper, we give an in-depth analysis of the potential factors and argue that the smoothness degree of samples' soft labels for different classes (i. e., hard class or easy class) will affect the robust fairness of DNN models from both empirical observation and theoretical analysis.
ChatPRCS: A Personalized Support System for English Reading Comprehension based on ChatGPT
Empirical results demonstrate that it provides learners with high-quality reading comprehension questions that are broadly aligned with expert-crafted questions at a statistical level.
Mitigating the Accuracy-Robustness Trade-off via Multi-Teacher Adversarial Distillation
Adversarial training is a practical approach for improving the robustness of deep neural networks against adversarial attacks.
A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment
To improve the IVF success rate, we propose a knowledge-based decision support system that can provide medical advice on the treatment protocol and medication adjustment for each patient visit during IVF treatment cycle.
Facial expression recognition with grid-wise attention and visual transformer
In particular, in the low-level feature learning, a grid-wise attention mechanism is proposed to capture the dependencies of different regions from a facial expression image such that the parameter update of convolutional filters in low-level feature learning is regularized.
Ranked #6 on
Facial Expression Recognition (FER)
on FER+
(using extra training data)
Facial Expression Recognition
Facial Expression Recognition (FER)
