Continual Learning Model for Multi-class Text Classification based on Replay Method
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Updated
May 26, 2023 - Python
Continual Learning Model for Multi-class Text Classification based on Replay Method
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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!
incremental learning experiments
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
Code with experiments from paper "Continual learning for computer security"
Code for the Continual Domain Randomization paper
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
Variational continual learning of a conditional diffusion model to generate MNIST. Based on 'Conditional Diffusion MNIST'.
Code for CPAL-2024 paper "Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates"
Towards Rehearsal-based Continual Learning at Scale: distributed CL with Horovod + PyTorch
Continual Contrastive Anomaly Detection under Natural Data Distribution Shifts
CI/CD with ArgoCD, Helm and GitHub Actions
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