Papers with sequential learning
Deep Bayesian Learning and Understanding (C18-3)
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| Challenge: | COLING 2018 is a conference for researchers and practitioners working on machine learning and deep learning. |
| Approach: | a tutorial on machine learning and deep learning will be presented at COLING 2018 . the tutorial will focus on statistical models, deep neural networks, sequential learning and natural language understanding . |
| Outcome: | This tutorial will present the latest advances in deep Bayesian and sequential learning at COLING 2018 . |
Becoming Experienced Judges: Selective Test-Time Learning for Evaluators (2026.eacl-short)
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| Challenge: | Large language models and visionlanguage models are increasingly used as automatic evaluators. |
| Approach: | They propose a framework that allows evaluators to improve *sequentially* at inference time without additional training or external signals. |
| Outcome: | The proposed framework outperforms strong baselines in two pairwise comparisons. |