YannDubs / Invariant-Self-Supervised-LearningLinks
Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
☆41Updated 3 years ago
Alternatives and similar repositories for Invariant-Self-Supervised-Learning
Users that are interested in Invariant-Self-Supervised-Learning are comparing it to the libraries listed below
Sorting:
- ☆46Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago
- ☆110Updated 2 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆43Updated 2 years ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆25Updated 2 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆71Updated last year
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- ☆57Updated 4 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- ☆37Updated 2 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 4 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆84Updated 3 weeks ago
- ☆22Updated 4 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Updated 3 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆48Updated 4 years ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆144Updated 3 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆42Updated 2 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 4 years ago
- ☆110Updated 3 years ago
- Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Model…☆57Updated 2 months ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆152Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆89Updated 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 …☆41Updated 5 years ago
- ☆34Updated 6 months ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- ☆21Updated 3 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated last year