Rezaei, Mina

10 publications

ICLR 2025 Calibrating LLMs with Information-Theoretic Evidential Deep Learning Yawei Li, David Rügamer, Bernd Bischl, Mina Rezaei

TMLR 2024 A Dual-Perspective Approach to Evaluating Feature Attribution Methods Yawei Li, Yang Zhang, Kenji Kawaguchi, Ashkan Khakzar, Bernd Bischl, Mina Rezaei

ECML-PKDD 2024 Attention-Driven Dropout: A Simple Method to Improve Self-Supervised Contrastive Sentence Embeddings Fabian Stermann, Ilias Chalkidis, Amihossein Vahidi, Bernd Bischl, Mina Rezaei

ECML-PKDD 2024 Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning Amihossein Vahidi, Lisa Wimmer, Hüseyin Anil Gündüz, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei

NeurIPSW 2024 FinerCut: Finer-Grained Interpretable Layer Pruning for Large Language Models Yang Zhang, Yawei Li, Xinpeng Wang, Qianli Shen, Barbara Plank, Bernd Bischl, Mina Rezaei, Kenji Kawaguchi

ICLR 2024 Probabilistic Self-Supervised Representation Learning via Scoring Rules Minimization Amirhossein Vahidi, Simon Schosser, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei

NeurIPSW 2023 AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments Yang Zhang, Yawei Li, Hannah Brown, Mina Rezaei, Bernd Bischl, Philip Torr, Ashkan Khakzar, Kenji Kawaguchi

NeurIPS 2022 FiLM-Ensemble: Probabilistic Deep Learning via Feature-Wise Linear Modulation Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Wegner, Konrad Schindler

NeurIPSW 2022 Transformer Model for Genome Sequence Analysis Noah Hurmer, Xiao-Yin To, Martin Binder, Hüseyin Anil Gündüz, Philipp C. Münch, René Mreches, Alice C McHardy, Bernd Bischl, Mina Rezaei

WACV 2019 Conditional Generative Adversarial Refinement Networks for Unbalanced Medical Image Semantic Segmentation Mina Rezaei, Haojin Yang, Konstantin Harmuth, Christoph Meinel