Zero Shot Learning in Scene Graph Generation
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Updated
Aug 12, 2020 - Python
Zero Shot Learning in Scene Graph Generation
Regularizar code from Adaptive Margin Diversity Regularizer for handling Data Imbalance in Zero-Shot SBIR, ECCV 2020
Pytorch implement of Zero-shot Knowledge Distillation in Deep Neural Networks
In this work we applied multilingual zero-shot transfer concept for the task of toxic comments detection. This concept allows a model trained only on a single-language dataset to work in arbitrary language, even low-resource.
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
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Advanced Text Classification with Transformer Models
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
Pytorch implementation for the paper Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders
Zero-Shot and Few-shot learning method using ChatGPT on problem sets
Official PyTorch Implementation of EGANS(TEC'23)
My Master Thesis on Zero-shot Multilingual Relation Extraction as Question Answering
Visual Entities Empowered Zero-Shot Image-to-Text Generation Transfer Across Domains
Forecasting the air quality of regions in Delhi using LLMs
Official implementation for paper "Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection" (ICLR 2024)
Python scripts to extract Slack messages, and classify their intent using OpenAI's GPT-4 API
The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.
[Elsevier Image and Vision Computing] How robust are discriminatively trained zero-shot learning models?
[ICCV 2023 CLVL Workshop] Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts
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