incremental learning experiments

Infrastructure prototype for public security systems with AI integration for automatic anomaly detection in surveillance videos

My personal experimental setups for Continual Learning research. Don't think it'll be useful for anyone, but who knows!

Continual Learning Model for Multi-class Text Classification based on Replay Method

Dive into the forefront of Large Language Models (LLMs) with our concise guide on the top 10 hot topics. Explore bias mitigation, efficient training, multimodal models, and more. Stay abreast of the latest advancements shaping the landscape of LLMs.

Code with experiments from paper "Continual learning for computer security"

Code for the Continual Domain Randomization paper

Toward Automated Continual Learning (for fully auto-adaptive learning methods and systems). Here, is a list of materials useful to realize this project.

Bayesian continual learning

Continuous learning applied to the development of a Chatbot based on Sequence-To-Sequence architecture

Project proposal for Master's thesis on Bayesian inference in continual learning

Over-parameterized expansion and Structure Compression for Continual Learning

Streaming Continual learning on sound classification.

TADIL: Task-agnostic Domain Incremental Learning. Continual Learning approach to infer task ID with no supervision

Continual Contrastive Anomaly Detection under Natural Data Distribution Shifts

CI/CD with ArgoCD, Helm and GitHub Actions

Task Conditional Neural Networks (TCNN) leverage the probabilistic neural networks to estimate the probability density of the training samples. Then produce the task likelihood during the test state to fire the task-specific neurons correspondin to the test sampels. TCNN can detect and learn the new tasks fully-automatically without informing th…

Stream: A Generalized Continual Learning Benchmark and Baseline

Latent Replay for Continual Learning on Edge devices with Efficient Architectures