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:
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆84Updated 3 years ago
- ☆65Updated 3 years ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆39Updated last year
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆40Updated 2 years ago
- ImageNetV2 Pytorch Dataset☆42Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆124Updated 3 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆71Updated 3 years ago
- SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)☆32Updated 7 months ago
- List of papers that combine self-supervision and continual learning☆69Updated 8 months ago
- This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.☆19Updated last year
- MoCo with Alignment and Uniformity Loss.☆63Updated 3 years ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆86Updated last year
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆79Updated 3 years ago
- Base Code of "LifeLonger: A Benchmark for Continual Disease Classification, MICCAI, 2022"☆22Updated 2 years ago
- Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"☆18Updated 2 years ago
- Official Code for ICML 2023 Paper: On the Generalization of Multi-modal Contrastive Learning☆26Updated 2 years ago
- [ICML 2022] 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
- Whitening for Self-Supervised Representation Learning | Official repository☆133Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆88Updated 3 years ago
- Implementation of "Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn"☆25Updated 2 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆40Updated 3 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 3 years ago
- B-cos Networks: Alignment is All we Need for Interpretability☆112Updated 2 years ago
- Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"☆67Updated 4 years ago
- Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation☆37Updated last year
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆71Updated 2 years ago
- CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification☆103Updated last year
- TTT Code Release☆147Updated 5 years ago