YannDubs / SSL-Risk-Decomposition
Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".
☆15Updated last year
Alternatives and similar repositories for SSL-Risk-Decomposition:
Users that are interested in SSL-Risk-Decomposition are comparing it to the libraries listed below
- ☆18Updated 3 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆12Updated 10 months ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated 2 years ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- Official Code for ICLR2022 Paper: Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap☆28Updated 2 years ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated last year
- Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)☆11Updated last year
- LISA for ICML 2022☆47Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆65Updated last year
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year
- Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)☆40Updated 10 months ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆35Updated 2 years ago
- ☆30Updated 3 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆19Updated 2 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆12Updated 3 years ago
- Deep Learning & Information Bottleneck☆56Updated last year
- Quantile risk minimization☆24Updated 6 months ago
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆27Updated last year
- ☆57Updated 2 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- ☆44Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆57Updated 2 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆31Updated 6 months ago
- ☆25Updated last year
- ☆21Updated 2 years ago
- [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"☆23Updated last year
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆24Updated last year
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year