Research Paper Notes

Over the years, through my research and courses, I have collected some research paper notes. These are aimed at being easier to read and understand while also being concise. Suggestions are welcome :) 

Prompt Injection Attacks and Defenses for LLM-based Agentic Systems 

• Related works [Notes]

Vision-Language Modeling:

• VQA: Visual Question Answering [Notes]

• Visual Dialog: Datasets and Models [Notes]

• ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks [Notes]

• Flamingo: a Visual Language Model for Few-Shot Learning [Notes]

• Analyzing the Behavior of Visual Question Answering Models [Notes]

• High-Resolution Image Synthesis with Latent Diffusion Models [Notes]

• Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding [Notes]

• PaLM-E: An Embodied Multimodal Language Model [Notes]

• DreamFusion: Text-to-3D using 2D Diffusion [Notes]

Continual Learning:

• Selective Replay Enhances Learning in Online Continual Analogical Reasoning [Notes]

• Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis [Notes]

• Replay in Deep Learning: Current Approaches and Missing Biological Elements [Notes]

• REMIND Your Neural Network to Prevent Catastrophic Forgetting [Notes]

• Self-Supervised Training Enhances Online Continual Learning [Notes]

• FearNet: Brain-Inspired Model For Iincremental Learning [Notes]

Natural Language Processing:

• Sequence to Sequence Learning with Neural Networks [Notes]

• Neural Machine Translation by jointly learning to align and translate [Notes]