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Found 3 papers, 2 papers with code
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis
To this end, we augment BARTScore by incorporating the human-like error analysis strategies, namely BARTScore++, where the final score consists of both the evaluations of major errors and minor errors.
Probabilistic Decomposition Transformer for Time Series Forecasting
The Transformer is employed to learn temporal patterns and implement primary probabilistic forecasts, while the conditional generative model is used to achieve non-autoregressive hierarchical probabilistic forecasts by introducing latent space feature representations.
MetaComp: Learning to Adapt for Online Depth Completion
However, facing a new environment where the test data occurs online and differs from the training data in the RGB image content and depth sparsity, the trained model might suffer severe performance drop.
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