most citedGhost-Connect Net: A Generalization-Enhanced Guidance For Sparse Deep Networks Under Distribution Shifts

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

You Are the Trigger: Speaker-Activated Backdoors

Nataša Krčo, Euodia Dodd, Peter Romov +1

Speech models are increasingly used as an interface to AI systems, from transcription tools to voice agents. Existing audio backdoors require an attacker to introduce triggers at i…

cs.MA2026

SABRE: A Multi-Agent Approach for Selecting Out-of-Distribution Detectors Under a Budget

Mary Wisell, Salimeh Sekeh

Post-hoc out-of-distribution (OOD) detection for vision-language models assumes that a detector chosen on a benchmark stays reliable once deployed. We show this fails across domain…

cs.LG2026

GRASP: Gradient-Aligned Sequential Parameter Transfer for Memory-Efficient Multi-Source Learning

Mary Isabelle Wisell, Nicholas Jacobs, Aayush Manandhar +1

Multi-source transfer learning faces a fundamental scalability bottleneck: existing approaches require either loading all K source models into memory simultaneously during paramete…

cs.CV2026

Understanding Cross-Modal Contributions in Continual Vision-Language Models: A Theoretical Perspective

Salimeh Sekeh, Mary Wisell

Continual vision-language models are commonly addressed through sequential fine-tuning; however, although this paradigm enables adaptation to new environments (tasks), it inherentl…

cs.LG2024★ 1 cited

Ghost-Connect Net: A Generalization-Enhanced Guidance For Sparse Deep Networks Under Distribution Shifts

Mary Isabelle Wisell, Salimeh Yasaei Sekeh

Sparse deep neural networks (DNNs) excel in real-world applications like robotics and computer vision, by reducing computational demands that hinder usability. However, recent stud…