3 papers
cs.LG2026
Don't Waste the Noise: Importance-Guided Perturbation Allocation under Joint Global and Local Constraints
Melika Shirian, Kianoosh Vadaei
Adversarial optimization under a shared budget requires deciding not only how much perturbation to use, but also where that limited budget should be spent. This allocation…
cs.LG2025
PrismSSL: One Interface, Many Modalities; A Single-Interface Library for Multimodal Self-Supervised Learning
Melika Shirian, Kianoosh Vadaei, Kian Majlessi +4
We present PrismSSL, a Python library that unifies state-of-the-art self-supervised learning (SSL) methods across audio, vision, graphs, and cross-modal settings in a single, modul…
cs.IR2024
Leveraging Retrieval-Augmented Generation for Persian University Knowledge Retrieval
Arshia Hemmat, Kianoosh Vadaei, Mohammad Hassan Heydari +1
This paper introduces an innovative approach using Retrieval-Augmented Generation (RAG) pipelines with Large Language Models (LLMs) to enhance information retrieval and query respo…