nmaher/repro-on-the-theory-of-continual-learning-with-gradient-descent-for-neural-networks-artifacts 13.6 kB
Running Reproduction: Active Continual Learning with Metaplastic Binary Bayesian Neural Networks 🎯 Explore research logbooks with code, traces, and workspace
Running Reproduction: Spatial Conformal Inference through Localized Quantile Regression 🎯 Explore research logbooks with code, traces, and workspace
Running Reproduction: Predictive variational inference: Learn the predictively optimal posterior distribution 🎯 Explore code, traces, and workspace in an interactive logbook
Running Reproduction: Finite-Width Neural Tangent Kernels from Feynman Diagrams 🎯 Explore project logs, code, and traces in an interactive web UI
Running Reproduction: Generalization of Gibbs and Langevin Monte Carlo Algorithms in the Interpolation Regime 🎯 Explore and navigate experiment logs, code, and traces
Running Reproduction: Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization 🎯 Explore project logs, traces and workspace
nmaher/repro-on-the-theory-of-continual-learning-with-gradient-descent-for-neural-networks-traces Traces • Updated 9 days ago • 1 • 89