Deep_Learning_Projects

Some of my Deep Learning projects around Self-Supervised Learning, Generative Models, Embeddings and Trustworthiness in applications of vision and NLP.

Self-Supervised Learning:

• Autoencoders and PixelCNN for Downstream Tasks
• Contrastive Predictive Coding
• SimCLR Analysis
• Unsupervised Representation Learning via Rotation Prediction

Generative Models:

• Timestep-Wise Regularization for VAE on Persian Text
• BigBiGAN analysis + Combining it with InfoGAN

Embeddings:

• Visual Question Answering
• Transfer Learning using EfficientNet-B0
• Multimodal Movie Genre Classification

Trustworthiness:

• Adverserial Training vs. Angular Loss for Robust Classification
• SHAP, LIME, and D-RISE Explanations
• [Backdoor attacks and OOD detection]

Vision:

• Efficient Instance Segmentation of pathology images via Patch-Based CNN (Related to my bachelor's thesis)