41 citations · 126 across the 31 of their papers we have counts for
12 papers · 1 filter
Improved Region Proposal Network for Enhanced Few-Shot Object Detection
Zeyu Shangguan, Mohammad Rostami
Despite significant success of deep learning in object detection tasks, the standard training of deep neural networks requires access to a substantial quantity of annotated images…
History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion
Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan
Temporal knowledge graph (TKG) completion models typically rely on having access to the entire graph during training. However, in real-world scenarios, TKG data is often received i…
Cognitively Inspired Cross-Modal Data Generation Using Diffusion Models
Zizhao Hu, Mohammad Rostami
Most existing cross-modal generative methods based on diffusion models use guidance to provide control over the latent space to enable conditional generation across different modal…
Low-Shot Learning for Fictional Claim Verification
Viswanath Chadalapaka, Derek Nguyen, JoonWon Choi +2
In this paper, we study the problem of claim verification in the context of claims about fictional stories in a low-shot learning setting. To this end, we generate two synthetic da…
I2I: Initializing Adapters with Improvised Knowledge
Tejas Srinivasan, Furong Jia, Mohammad Rostami +1
Adapters present a promising solution to the catastrophic forgetting problem in continual learning. However, training independent Adapter modules for every new task misses an oppor…
Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning
Ruitong Sun, Mohammad Rostami
Melanoma is a prevalent lethal type of cancer that is treatable if diagnosed at early stages of development. Skin lesions are a typical indicator for diagnosing melanoma but they o…