lmartak / distill-nn-treeLinks
Distillation of Neural Network Into a Soft Decision Tree
☆65Updated 5 years ago
Alternatives and similar repositories for distill-nn-tree
Users that are interested in distill-nn-tree are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.☆103Updated last year
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆84Updated 3 years ago
- Ἀνατομή is a PyTorch library to analyze representation of neural networks☆65Updated 3 months ago
- Code for "Supermasks in Superposition"☆124Updated 2 years ago
- ☆124Updated last year
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)☆100Updated 3 years ago
- A Neuromodulated Meta-Learning algorithm☆117Updated 5 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 5 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆41Updated 4 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 6 years ago
- The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.☆194Updated 2 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆129Updated last year
- code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"☆46Updated 6 years ago
- Adaptive Neural Trees☆155Updated 6 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆148Updated 4 years ago
- Calibration of Convolutional Neural Networks☆170Updated 2 years ago
- rich posterior approximations and anomaly detection☆20Updated 6 years ago
- Last-layer Laplace approximation code examples☆84Updated 3 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- ☆83Updated last year
- ☆45Updated 5 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆129Updated 2 years ago