95 papers found
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Comparing and Improving Active Learning Uncertainty Measures for Transformer Models by Discarding Outliers
Comparing and Improving Active Learning Uncertainty Measures for Transformer Models
ImitAL: Learned Active Learning Strategy on Synthetic Data
ALWars: Combat-Based Evaluation of Active Learning Strategies
Transformer-Encoder-Based Mathematical Information Retrieval
Season- and Trend-aware Symbolic Approximation for Accurate and Efficient Time Series Matching
ImitAL
An ALBERT-based Similarity Measure for Mathematical Answer Retrieval
Pre-Trained Web Table Embeddings for Table Discovery
Accurate and Efficient Time Series Matching by Season- and Trend-aware Symbolic Approximation -- Extended Version Including Additional Evaluation and Proofs
RecipeGM: A Hierarchical Recipe Generation Model
TU_DBS in the ARQMath Lab 2021, CLEF
Learning from Textual Data in Database Systems
FacetE
Configuring Parallelism for Hybrid Layouts Using Multi-Objective Optimization
Retro
Retrolive
WeakAL: Combining Active Learning and Weak Supervision
Active Learning for Spreadsheet Cell Classification
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