Vakilian, Vala

6 publications

ICLR 2025 DARE the Extreme: Revisiting Delta-Parameter Pruning for Fine-Tuned Models Wenlong Deng, Yize Zhao, Vala Vakilian, Minghui Chen, Xiaoxiao Li, Christos Thrampoulidis

AAAI 2024 Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract) Jaidev Gill, Vala Vakilian, Christos Thrampoulidis

ICLR 2024 Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia, Jaidev Gill, Christos Thrampoulidis

AISTATS 2023 On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data Tina Behnia, Ganesh Ramachandra Kini, Vala Vakilian, Christos Thrampoulidis

NeurIPS 2022 Imbalance Trouble: Revisiting Neural-Collapse Geometry Christos Thrampoulidis, Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia

NeurIPSW 2022 On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data Tina Behnia, Ganesh Ramachandra Kini, Vala Vakilian, Christos Thrampoulidis