LS-LLaMA: Label Supervised LLaMA Finetuning 📢: For convenience, we build a bi-directional LLMs toolkit BiLLM for language understanding. Welcome to use it. Usage Our implementation currently supports the following sequence classification benchmarks: SST2 (2 classes) / SST5 (5 classes) AGNews...
One reason for this is that classical supervised machine learning applications have a significant drawback: they require a relatively large amount of quality training data for development. However, these are mostly unavailable at the beginning of a machine learning project. One of the primary ...
Biswas, S.; Gall, J. Multiple Instance Triplet Loss for Weakly Supervised Multi-Label Action Localisation of Interacting Persons. In Proceedings of the IEEE/CVF International Conference on Computer Vision, Montreal, QC, Canada, 11–17 October 2021; pp. 2159–2167. [Google Scholar] ...