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
Sorting:
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 3 years ago
- 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
- [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…☆25Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆30Updated 2 years ago
- Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations☆28Updated last year
- Code for ICML 2023 paper "When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis"☆13Updated last year
- Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(ICCV, 2021) paper☆30Updated 2 years ago
- ☆30Updated 2 weeks ago
- ☆13Updated 3 years ago
- ☆16Updated last year
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated last year
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated 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
- ☆12Updated 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
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆41Updated 4 years ago
- [WACV2023] This is the official PyTorch impelementation of our paper "[Rethinking Rotation in Self-Supervised Contrastive Learning: Adapt…☆12Updated 2 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 3 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
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆38Updated 3 years ago
- [ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"☆19Updated 2 years ago
- ☆25Updated last year
- ☆19Updated 3 years ago
- This repository includes the official project of L2B, from our paper "Learning to Bootstrap for Combating Label Noise".☆33Updated 2 months ago
- [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'☆26Updated 4 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 3 years ago
- [ICCVW2023] Robust Asymmetric Loss for Multi-Label Long-Tailed Learning☆18Updated last year