jyanln / AlignReg
☆18Updated last year
Alternatives and similar repositories for AlignReg:
Users that are interested in AlignReg are comparing it to the libraries listed below
- NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning☆17Updated 2 years ago
- [ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jian…☆24Updated 2 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 3 years ago
- ☆12Updated last year
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- ☆30Updated last year
- An official implementation of Cl-InfoNCE☆14Updated 3 years ago
- [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…☆25Updated 3 years ago
- Code implementation for paper "On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals".☆16Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆29Updated 2 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆11Updated 3 years ago
- Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.☆24Updated 3 years ago
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆22Updated 11 months ago
- Black-box Few-shot Knowledge Distillation☆13Updated 2 years ago
- [WACV2023] This is the official PyTorch impelementation of our paper "[Rethinking Rotation in Self-Supervised Contrastive Learning: Adapt…☆12Updated 2 years ago
- Official Code for ICML 2023 Paper: On the Generalization of Multi-modal Contrastive Learning☆25Updated last year
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- Towards Unified and Effective Domain Generalization☆31Updated last year
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆29Updated 2 years ago
- PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels☆28Updated 4 years ago
- IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"☆40Updated 2 years ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated last year
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆38Updated 3 years ago
- ☆36Updated 2 years ago
- This repository includes the official project of L2B, from our paper "Learning to Bootstrap for Combating Label Noise".☆32Updated last month
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 3 years ago
- Recycling diverse models☆44Updated 2 years ago
- Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations☆28Updated last year
- [ICCVW2023] Robust Asymmetric Loss for Multi-Label Long-Tailed Learning☆18Updated last year