adrianjav / rotogradLinks
Official Pytorch's implementation of RotoGrad
☆80Updated 2 years ago
Alternatives and similar repositories for rotograd
Users that are interested in rotograd are comparing it to the libraries listed below
Sorting:
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆144Updated 2 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆58Updated 3 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- ☆81Updated last year
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆84Updated last year
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆117Updated 4 years ago
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Updated last year
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆78Updated 2 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- ☆36Updated 4 years ago
- ☆58Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Code for "Supermasks in Superposition"☆124Updated last year
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆151Updated 2 years ago
- Code for Which Tasks Should Be Learned Together in Multi-task Learning?☆98Updated 2 years ago
- Belief matching framework official implementation☆40Updated 2 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆36Updated last year
- Differentiable Sorting Networks☆117Updated last year
- ☆62Updated 4 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆50Updated 4 years ago
- ☆109Updated 2 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆150Updated 3 years ago
- Differentiable Top-k Classification Learning☆83Updated 2 years ago
- ☆45Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year