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Found 5 papers, 3 papers with code
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification
BAIT, a recently proposed AL strategy based on the Fisher Information, has demonstrated impressive performance across various datasets.
BirdSet: A Multi-Task Benchmark for Classification in Computational Avian Bioacoustics
Data fragmentation and opacity across studies complicate a comprehensive evaluation of model performance.
Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with Transformers
We propose a shift towards end-to-end learning in bird sound monitoring by combining self-supervised (SSL) and deep active learning (DAL).
DADO -- Low-Cost Query Strategies for Deep Active Design Optimization
We present two selection strategies for self-optimization to reduce the computational cost in multi-objective design optimization problems.
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers
Deep active learning (DAL) seeks to reduce annotation costs by enabling the model to actively query instance annotations from which it expects to learn the most.
