incremental learning experiments
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Updated
Jul 6, 2023 - Python
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
Code for the Continual Domain Randomization paper
Bayesian continual learning
End-to-End Speech Processing Toolkit: Multilingual Continual Learning module
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
Towards Rehearsal-based Continual Learning at Scale: distributed CL with Horovod + PyTorch
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"
Over-parameterized expansion and Structure Compression for Continual Learning
Continual Learning code for SRe2L paper (NeurIPS 2023 spotlight)
towards models that can gracefully forget
AGILE NeurIPS 2023 cleaned version
EVCL-WC: Elastic Variational Continual Learning with Weight Consolidation
PyContinual (An Easy and Extendible Framework for Continual Learning)
Official code for paper "OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning"
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