jiwoongim / OHO
Online Hyperparameter Optimization
☆9Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for OHO
- Gradient-based Hyperparameter Optimization Over Long Horizons☆12Updated 3 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- ☆37Updated 3 years ago
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 3 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 3 years ago
- Fine-grained ImageNet annotations☆29Updated 4 years ago
- The Codebase for Causal Distillation for Language Models (NAACL '22)☆25Updated 2 years ago
- ☆12Updated 5 years ago
- Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Ch…☆35Updated 3 years ago
- ☆35Updated 3 months ago
- How certain is your transformer?☆25Updated 3 years ago
- Influence Experiments☆35Updated last year
- ☆22Updated 2 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 3 years ago
- An Empirical Study of Invariant Risk Minimization☆28Updated 4 years ago
- ☆63Updated 2 years ago
- Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆15Updated 2 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- ☆13Updated last year
- ☆25Updated 4 years ago
- A weak supervision framework for (partial) labeling functions☆14Updated 4 months ago
- Weighted Training for Cross-Task Learning☆15Updated last year
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆30Updated 3 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 4 years ago
- ☆17Updated 2 years ago
- ☆36Updated 4 years ago
- Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"☆28Updated 2 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆31Updated 3 years ago
- Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)☆15Updated 11 months ago