Jul 21, 2024 � We propose an asymmetric dual-task co-training PLL model called AsyCo, which forces its two networks, ie, a disambiguation network and an auxiliary network, to�...

Therefore, in this paper, we propose an asymmetric dual-task co-training PLL model called AsyCo, which forces its two networks, i.e., a disambiguation network�...

Therefore, in this paper, we propose an asymmetric dual-task co-training PLL model called AsyCo, which forces its two networks, i.e., a disambiguation network�...

Jul 21, 2024 � We propose an asymmetric dual-task co-training PLL model called AsyCo, which forces its two networks, ie, a disambiguation network and an auxiliary network, to�...

AsyCo is an asymmetric dual-task co-training model designed for partial-label learning (PLL) to address the error accumulation problem in self-training PLL�...

Therefore, in this paper, we propose an asymmetric dual-task co-training PLL model called AsyCo, which forces its two networks, i.e., a disambiguation network�...

Each coloured thread in the circle represents a different type of online attention and the number in the centre is the Altmetric score. The score is calculated�...

Jul 22, 2024 � The model uses an asymmetric dual-task co-training approach, which trains two separate models simultaneously to learn from each other.

Partial-Label Learning (PLL) is a typical problem of weakly supervised learning, where each training instance is annotated with a set of candidate labels. Self-�...

Therefore, in this paper, we propose an asymmetric dual-task co-training PLL model called AsyCo, which forces its two networks, i.e., a disambiguation network�...