Zero Shot Learning in Scene Graph Generation

ZSRGAN: Zero-shot Super-Resolution with Generative Adversarial Network(Pytorch)

This is a project I had done over my 10-week internship at ORNL. The goal of this project was to use different Computer Vision Techniques to classify pictures of blurred car cabin images

Improving Zero-Shot Cross-Lingual Hate Speech Detection with Pseudo-Label Fine-Tuning of Transformer Language Models

Convergence [Python application] [Python training] [Python technology sharing] and so on

Task Generation Scheme for the Meta-Unsupervised Algorithm

LLMs for Low Resource Languages in Multilingual, Multimodal and Dialectal Settings

My Master Thesis on Zero-shot Multilingual Relation Extraction as Question Answering

Zero-shot LM prompting framework that uses procedural reasoning to solve complex knowledge graph based questions

Forecasting the air quality of regions in Delhi using LLMs

Reproducibility Challenge for COMP6248 Deep Learning module (University of Southampton)

zero-shot super resolution

Code and pre-processed data for our paper in AAAI 2022 named CABACE.

Generalized Zero-Shot Character Recognition

This project was part of the MLx Cases section of the OxML 2023 summer school.

Zero Shot Detection Dataset

The official repository of the "Closed-form Sample Probing for Learning Generative Models in Zero-shot Learning" paper published at ICLR 2022.

Sentiment analysis on Amazon Fine Food Dataset available on Kaggle Using Zero-Shot Learning

Zero-Shot Learning using fMRI Imaging Data

Zero-shot learning (ZSL) is a challenging problem in computer vision, where the model is required to recognize classes that have not been seen during training.