Awesome Multitask Learning Resources
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
Sparse Switchable Normalization with sparse activation function SparestMax
SLIDE (Sub-LInear Deep learning Engine) written in Go
SPoT: Subpixel Placement of Tokens in Vision Transformers
A Pytorch library for stochastic variational inference with sparsity inducing priors.
[AAAI 2019] "A Probabilistic Derivation of LASSO and L12-Norm Feature Selections", Di Ming, Chris Ding, Feiping Nie
This repo is an educational POC showing how thermodynamic sampling units can produce sparse polynomial approximations. It’s intended for demonstration, not production.
[JASA] Reconstruct Ising Model with Global Optimality via SLIDE
[IJCAI 2019] "Robust Flexible Feature Selection via Exclusive L21 Regularization", Di Ming, Chris Ding
[ICML24] Better Locally Private Sparse Estimation Given Multiple Samples Per User
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