automl / zero-shot-automl-with-pretrained-models
Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
☆44Updated last year
Alternatives and similar repositories for zero-shot-automl-with-pretrained-models:
Users that are interested in zero-shot-automl-with-pretrained-models are comparing it to the libraries listed below
- A learning curve benchmark on OpenML data☆30Updated 3 months ago
- ☆22Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- Automatically generate simple meta-learning tasks from a very large space☆15Updated last year
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 3 years ago
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆49Updated last year
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated last month
- Hyperparameter tuning via uncertainty modeling☆47Updated 10 months ago
- TabDPT: Scaling Tabular Foundation Models☆26Updated last week
- We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.☆21Updated 2 years ago
- ☆34Updated 3 months ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆26Updated last year
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 4 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆60Updated 3 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆19Updated 2 years ago
- ☆23Updated 3 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆79Updated last year
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆48Updated last year
- ☆29Updated 2 years ago
- Fast training of unitary deep network layers from low-rank updates☆29Updated 2 years ago
- ☆15Updated 5 months ago
- NAS + Cascades | Best Paper @ GECCO 2022☆16Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆56Updated last year
- Deep Networks Grok All the Time and Here is Why☆30Updated 10 months ago
- The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.☆15Updated last year
- Optimization algorithm which fits a ResNet to CIFAR-10 5x faster than SGD / Adam (with terrible generalization)☆12Updated last year
- Official code for the paper "Context-Aware Language Modeling for Goal-Oriented Dialogue Systems"☆34Updated 2 years ago
- ☆52Updated 5 months ago
- ☆37Updated 3 years ago