mariuslindegaard / Intermediate_Neural_Collapse
(ICML 2023) Feature learning in deep classifiers through Intermediate Neural Collapse: Accompanying code
☆13Updated last year
Alternatives and similar repositories for Intermediate_Neural_Collapse:
Users that are interested in Intermediate_Neural_Collapse are comparing it to the libraries listed below
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- ☆63Updated 2 months ago
- ☆34Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆46Updated last year
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Deep Learning & Information Bottleneck☆56Updated last year
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Simple (and cheap!) neural network uncertainty estimation☆61Updated this week
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆46Updated 8 months ago
- Distilling Model Failures as Directions in Latent Space☆46Updated 2 years ago
- ☆23Updated 2 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆41Updated last year
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 2 months ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆65Updated last year
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- ☆35Updated last year
- Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Model…☆54Updated last year
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆62Updated 2 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆55Updated 2 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆24Updated 11 months ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆9Updated 2 years ago
- Pytorch code for experiments on Linear Transformers☆19Updated last year
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆104Updated 4 years ago
- ☆16Updated 5 months ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆55Updated last year
- Simple CIFAR10 ResNet example with JAX.☆23Updated 3 years ago
- Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…☆25Updated this week