fsschneider / cockpit-experiments
Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"
☆13Updated 2 years ago
Related projects: ⓘ
- ☆35Updated 2 years ago
- Quantification of Uncertainty with Adversarial Models☆27Updated last year
- notebooks of cool EBM visualizations☆16Updated 3 years ago
- JAX implementation of Learning to learn by gradient descent by gradient descent☆25Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆24Updated 2 years ago
- Official code for the paper: "Metadata Archaeology"☆18Updated last year
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆30Updated 3 years ago
- Companion code for a tutorial on using Hydra.☆27Updated 3 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆16Updated 9 months ago
- Test pytorch code with minimal computational overhead☆25Updated last year
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 3 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated last year
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆18Updated 3 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆52Updated last year
- ☆32Updated 11 months ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated 5 months ago
- Cyclemoid implementation for PyTorch☆87Updated 2 years ago
- Quickest way to share everything about your research within a single app☆17Updated 7 months ago
- ☆21Updated last year
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆23Updated 2 years ago
- Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.☆11Updated 3 months ago
- ☆21Updated this week
- AutoML Two-Sample Test☆18Updated 2 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 3 years ago
- ☆10Updated 5 months ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 3 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆24Updated last year
- ☆15Updated 3 years ago
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆45Updated last year
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆18Updated last year