google-research / understanding-transfer-learningLinks
☆45Updated 4 years ago
Alternatives and similar repositories for understanding-transfer-learning
Users that are interested in understanding-transfer-learning are comparing it to the libraries listed below
Sorting:
- Code for "Supermasks in Superposition"☆124Updated last year
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆133Updated 4 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆65Updated 5 years ago
- Ἀνατομή is a PyTorch library to analyze representation of neural networks☆65Updated 2 months ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated last year
- Benchmark for Lifelong learning research☆118Updated 4 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆77Updated 4 years ago
- CIFAR-5m dataset☆39Updated 4 years ago
- ☆55Updated 5 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆40Updated 4 years ago
- ☆45Updated 5 years ago
- ☆34Updated 2 months ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆50Updated 4 years ago
- Reproducible code for Augmentation paper☆17Updated 6 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- ☆34Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- ☆37Updated last year
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆56Updated 3 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆79Updated 2 years ago
- ☆19Updated 3 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆40Updated 4 years ago
- Fine-grained ImageNet annotations☆29Updated 5 years ago
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding☆73Updated 3 years ago