jiwoongim / Online-Hyperparameter-Optimization-by-real-time-recurrent-learningLinks
Online Hyperparameter Optimization
☆11Updated 4 years ago
Alternatives and similar repositories for Online-Hyperparameter-Optimization-by-real-time-recurrent-learning
Users that are interested in Online-Hyperparameter-Optimization-by-real-time-recurrent-learning are comparing it to the libraries listed below
Sorting:
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Updated 3 years ago
- Gradient-based Hyperparameter Optimization Over Long Horizons☆14Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆38Updated 4 years ago
- ☆18Updated 3 years ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated 2 years ago
- Parameter Efficient Transfer Learning with Diff Pruning☆74Updated 4 years ago
- Official repository for Fourier model that can generate periodic signals☆10Updated 3 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 3 years ago
- ☆34Updated 6 months ago
- ☆96Updated 3 years ago
- Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).☆59Updated 3 years ago
- A simple Jax implementation of influence functions.☆18Updated last year
- ☆32Updated last month
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆32Updated 3 years ago
- ☆46Updated 2 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 3 years ago
- Fine-grained ImageNet annotations☆30Updated 5 years ago
- ☆37Updated 2 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 5 years ago
- The Codebase for Causal Distillation for Language Models (NAACL '22)☆25Updated 3 years ago
- ☆32Updated last year
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 4 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆36Updated 3 years ago
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆11Updated 5 years ago
- ☆31Updated 4 years ago