most citedFine-Tuning Without Forgetting: Adaptation of YOLOv8 Preserves COCO Performance

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

collaborators

6 papers

cs.CL2025

Crisp Attention: Regularizing Transformers via Structured Sparsity

Sagar Gandhi, Vishal Gandhi

The quadratic computational cost of the self-attention mechanism is a primary challenge in scaling Transformer models. While attention sparsity is widely studied as a technique to…

cs.CV2025

Personalized Image Generation from an Author Writing Style

Sagar Gandhi, Vishal Gandhi

Translating nuanced, textually-defined authorial writing styles into compelling visual representations presents a novel challenge in generative AI. This paper introduces a pipeline…

cs.CV20251 cited

Fine-Tuning Without Forgetting: Adaptation of YOLOv8 Preserves COCO Performance

Vishal Gandhi, Sagar Gandhi

The success of large pre-trained object detectors hinges on their adaptability to diverse downstream tasks. While fine-tuning is the standard adaptation method, specializing these…

cs.CL2025

ELSA: A Style Aligned Dataset for Emotionally Intelligent Language Generation

Vishal Gandhi, Sagar Gandhi

Advancements in emotion aware language processing increasingly shape vital NLP applications ranging from conversational AI and affective computing to computational psychology and c…

cs.CL2025

Prompt Sentiment: The Catalyst for LLM Change

Vishal Gandhi, Sagar Gandhi

The rise of large language models (LLMs) has revolutionized natural language processing (NLP), yet the influence of prompt sentiment, a latent affective characteristic of input tex…

cs.CR2022

A Systematic Literature Review On Privacy Of Deep Learning Systems

Vishal Jignesh Gandhi, Sanchit Shokeen, Saloni Koshti

The last decade has seen a rise of Deep Learning with its applications ranging across diverse domains. But usually, the datasets used to drive these systems contain data which is h…