3 citations · 4 across the 4 of their papers we have counts for
5 papers
FIRM: Fisher-Informed Retention Merging for Federated LLM Unlearning
Reeyansh Shah, Maram Hasan, Subhasis Chaudhuri +1
Federated LLM unlearning addresses targeted knowledge removal when forget and retain data remain distributed across private clients and are inaccessible to the server. The resultin…
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing
Hariseetharam Gunduboina, Muhammad Haris Khan, Biplab Banerjee
In recent years, large-scale vision-language models (VLMs) like CLIP have gained attention for their zero-shot inference using instructional text prompts. While these models excel…
ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction
Izzeddin Teeti, Aniket Thomas, Munish Monga +5
We present ASTRA (A} Scene-aware TRAnsformer-based model for trajectory prediction), a light-weight pedestrian trajectory forecasting model that integrates the scene context, spati…
Anomaly detection using Diffusion-based methods
Aryan Bhosale, Samrat Mukherjee, Biplab Banerjee +1
This paper explores the utility of diffusion-based models for anomaly detection, focusing on their efficacy in identifying deviations in both compact and high-resolution datasets.…
Deep evolving semi-supervised anomaly detection
Jack Belham, Aryan Bhosale, Samrat Mukherjee +2
The aim of this paper is to formalise the task of continual semi-supervised anomaly detection (CSAD), with the aim of highlighting the importance of such a problem formulation whic…