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Found 6 papers, 1 papers with code
MPAT: Building Robust Deep Neural Networks against Textual Adversarial Attacks
Deep neural networks have been proven to be vulnerable to adversarial examples and various methods have been proposed to defend against adversarial attacks for natural language processing tasks.
PILL: Plug Into LLM with Adapter Expert and Attention Gate
Recently, significant progress has been made in the development of Vision Language Models (VLMs), expanding the capabilities of LLMs and enabling them to execute more diverse instructions.
Blind Image Super-resolution with Rich Texture-Aware Codebooks
However, we find that a codebook based on HR reconstruction may not effectively capture the complex correlations between low-resolution (LR) and HR images.
Low-Confidence Samples Mining for Semi-supervised Object Detection
Reliable pseudo-labels from unlabeled data play a key role in semi-supervised object detection (SSOD).
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training
In current studies, we observe that class imbalance in SSOD severely impedes the effectiveness of self-training.
Intergenerational risk sharing in a Defined Contribution pension system: analysis with Bayesian optimization
We study a fully funded, collective defined-contribution (DC) pension system with multiple overlapping generations.
