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Found 3 papers, 3 papers with code
Novel Categories Discovery Via Constraints on Empirical Prediction Statistics
As an alternative to the traditional pseudo-labeling-based approaches, we leverage the connection between the data sampling and the provided multinoulli (categorical) distribution of novel classes.
NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery
During our experiments with UCF101 and multi-view action dataset, NEV-NCD achieves ~ 83% classification accuracy in test instances of labeled data.
Language Representation Models for Fine-Grained Sentiment Classification
While these models report some improvement over BERT on the popular benchmarks GLUE, SQuAD, and RACE, they have not been applied to the fine-grained classification task.
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