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Found 4 papers, 3 papers with code
An Accelerator for Rule Induction in Fuzzy Rough Theory
First, a rule induction method based on consistence degree, called Consistence-based Value Reduction (CVR), is proposed and used as basis to accelerate.
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning
To fully utilize the label annotations, we propose Unified Momentum Contrast (UniMoCo), which extends MoCo to support arbitrary ratios of labeled data and unlabeled data training.
UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
DEtection TRansformer (DETR) for object detection reaches competitive performance compared with Faster R-CNN via a transformer encoder-decoder architecture.
Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition
We revise the attention distribution to focus on the local and contextual semantic information by incorporating the relative position information between utterances.
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