Renyu Zhang — accepted AI-conference papers

2024

Enhancing Instance-Level Image Classification with Set-Level Labels

Renyu Zhang, Aly A Khan, Yuxin Chen, Robert L. Grossman

ICLR 2024poster

Instance-level image classification tasks have traditionally relied on single-instance labels to train models, e.g., few-shot learning and transfer learning. However, set-level coarse-grained labels that capture relationships among instances can provide richer information in real-world scenarios. In…

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2023

Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing

Renyu Zhang, Aly A Khan, Robert L. Grossman, Yuxin Chen

ICLR 2023poster

Active learning has demonstrated data efficiency in many fields. Existing active learning algorithms, especially in the context of batch-mode deep Bayesian active models, rely heavily on the quality of uncertainty estimations of the model, and are often challenging to scale to large batches. In this…

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