ernoult / scalingDTPLinks
"Towards Scaling Difference Target Propagation by Learning Backprop Targets" (ICML 2022)
☆12Updated 2 years ago
Alternatives and similar repositories for scalingDTP
Users that are interested in scalingDTP are comparing it to the libraries listed below
Sorting:
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 8 months ago
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆25Updated 3 years ago
- ☆12Updated 3 years ago
- ☆16Updated 2 years ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆31Updated 3 years ago
- Code accompanying the paper "A contrastive rule for meta-learning"☆12Updated 8 months ago
- Offical Repo for Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks. Accepted by Neurips 2020.☆34Updated 4 years ago
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- ☆23Updated 2 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆42Updated 4 years ago
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆12Updated 2 years ago
- [ECMLPKDD 2020] "Topological Insights into Sparse Neural Networks"☆13Updated 3 years ago
- ☆55Updated 11 months ago
- ☆14Updated 4 years ago
- ☆19Updated 3 years ago
- Factorized Neural Layers☆29Updated 2 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆46Updated 4 years ago
- ☆37Updated 3 years ago
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆18Updated 3 years ago
- Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]☆36Updated 10 months ago
- ☆70Updated 7 months ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆28Updated 2 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated last year
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆88Updated 3 years ago
- Fast training of unitary deep network layers from low-rank updates☆28Updated 2 years ago
- BrainProp: How the brain can implement reward-based error backpropagation☆16Updated 2 years ago
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆28Updated 2 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆41Updated 6 years ago
- ☆37Updated 11 months ago