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Neslihan Bulut

2 accepted papers

2026

Data Selection for Fine-tuning Vision Language Models via Cross Modal Alignment Trajectories

ICML 2026poster

Data-efficient learning aims to eliminate redundancy in large training datasets by train- ing models on smaller subsets of the most informative examples. While data selection has been extensively explored for vision models and large language models (LLMs), it remains underexplored for Large Vision-L…

Cited by 0SourceScholar
2023

SubMix: Learning to Mix Graph Sampling Heuristics

UAI 2023poster

Sampling subgraphs for training Graph Neural Networks (GNNs) is receiving much attention from the GNN community. While a variety of methods have been proposed, each method samples the graph according to its own heuristic. However, there has been little work in mixing these heuristics in an end-to-en…