JackHck / SBCL
[ICCV 2023] Subclass-balancing contrastive learning for long-tailed recognition
☆17Updated last year
Alternatives and similar repositories for SBCL:
Users that are interested in SBCL are comparing it to the libraries listed below
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆35Updated last year
- [ICCV 2023] MADAug: When to Learn What: Model-Adaptive Data Augmentation Curriculum☆19Updated last year
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated last year
- ☆16Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆44Updated 2 years ago
- Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)☆19Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated last year
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆25Updated last year
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆62Updated 2 years ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆39Updated last year
- ☆31Updated 3 years ago
- Official Implementation of Curriculum of Data Augmentation for Long-tailed Recognition (CUDA) (ICLR'23 Spotlight)☆20Updated last year
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- [CVPR 2023] Regularizing Second-Order Influences for Continual Learning☆34Updated last year
- official source code for the Paper: **Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment** based on Pytorch.☆38Updated 6 months ago
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆33Updated last year
- Official implementation of "Towards Distribution-Agnostic Generalized Category Discovery" (NIPS 2023)☆24Updated last year
- This is a public repository for:☆38Updated 3 years ago
- Code for "Balanced Knowledge Distillation for Long-tailed Learning"☆27Updated last year
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated last year
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆52Updated 2 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆40Updated 3 years ago
- ☆14Updated 2 years ago
- [ICLR 2022] Open-World Semi-Supervised Learning☆96Updated 2 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆24Updated last year
- Official Implementation of LADS (Latent Augmentation using Domain descriptionS)☆49Updated last year
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆67Updated 2 years ago
- ☆24Updated last year
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆48Updated 11 months ago
- This repo provides the codebase for "A General Framework for Weak Supervision"☆32Updated 7 months ago