mutual-ai / Information-Bottleneck-for-Deep-Learning
Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.
☆11Updated 6 years ago
Related projects: ⓘ
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆24Updated 2 years ago
- Anytime Learning At Macroscale☆9Updated 2 years ago
- ☆19Updated 4 years ago
- Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…☆15Updated 2 years ago
- Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning☆41Updated 5 years ago
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆20Updated last year
- Automatic Recall Machines: Internal Replay, Continual Learning and the Brain☆11Updated 4 years ago
- can calculate the Hessian matrix and/or its spectrum for simple neural nets☆10Updated 6 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆44Updated 4 years ago
- Code of the paper Fair k-Means Clustering☆13Updated 2 years ago
- An adaptive training algorithm for residual network☆14Updated 4 years ago
- Source code for paper Choromanska et al. -- Beyond Backprop: Online Alternating Minimization with Auxiliary Variables -- http://proceedin…☆24Updated 4 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Updated 5 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆44Updated last year
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆40Updated 3 years ago
- An Empirical Study of Invariant Risk Minimization☆28Updated 4 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 4 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆16Updated last year
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- ☆40Updated 4 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 5 years ago
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Updated 3 years ago
- Code base for SRSGD.☆28Updated 4 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 3 years ago
- ☆27Updated 3 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Reproducible code for Augmentation paper☆18Updated 5 years ago
- ☆10Updated 3 years ago