Annusha / temperature_schedulesLinks
Temperature Schedules for self-supervised contrastive methods on long-tail data (ICLR'23)
☆18Updated 2 years ago
Alternatives and similar repositories for temperature_schedules
Users that are interested in temperature_schedules are comparing it to the libraries listed below
Sorting:
- ☆65Updated 3 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆38Updated 2 years ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆36Updated 11 months ago
- ImageNetV2 Pytorch Dataset☆41Updated 2 years ago
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆83Updated 3 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆70Updated 3 years ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated last year
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆125Updated 2 years ago
- Base Code of "LifeLonger: A Benchmark for Continual Disease Classification, MICCAI, 2022"☆21Updated 2 years ago
- The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"☆24Updated last year
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Updated 3 years ago
- Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"☆17Updated last year
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆40Updated last year
- List of papers that combine self-supervision and continual learning☆68Updated 4 months ago
- Official Implementation of LADS (Latent Augmentation using Domain descriptionS)☆51Updated 2 years ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆109Updated last year
- This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.☆18Updated last year
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆54Updated 11 months ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆81Updated last year
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆41Updated 2 years ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆99Updated 2 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆102Updated 2 years ago
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆35Updated 2 years ago
- CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification☆93Updated last year
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆75Updated 3 years ago
- ☆36Updated 4 years ago
- Analysis of evidential models☆14Updated 2 years ago
- [ECCV 2022] Tackling Long-Tailed Category Distribution Under Domain Shifts☆20Updated 2 years ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 3 years ago